Getting started with Starling (ST)

%pip install biostarling
%pip install lightning_lite

import anndata as ad
import pandas as pd
import torch
from starling import starling, utility
from lightning_lite import seed_everything
import pytorch_lightning as pl

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Note: you may need to restart the kernel to use updated packages.

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Requirement already satisfied: idna>=2.0 in /home/runner/work/starling/starling/.venv/lib/python3.12/site-packages (from yarl<2.0,>=1.0->aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]>2021.06.0->lightning_lite) (3.7)

Note: you may need to restart the kernel to use updated packages.

Setting seed for everything

seed_everything(10, workers=True)

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Global seed set to 10

10

Loading annData objects

The example below runs Kmeans with 10 clusters read from “sample_input.h5ad” object.

!wget https://github.com/camlab-bioml/starling/raw/main/docs/source/tutorial/sample_input.h5ad

adata = utility.init_clustering("KM", ad.read_h5ad("sample_input.h5ad"), k=10)

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--2024-09-13 20:55:44--  https://github.com/camlab-bioml/starling/raw/main/docs/source/tutorial/sample_input.h5ad
Resolving github.com (github.com)... 140.82.114.3
Connecting to github.com (github.com)|140.82.114.3|:443... 

connected.

HTTP request sent, awaiting response... 

302 Found
Location: https://raw.githubusercontent.com/camlab-bioml/starling/main/docs/source/tutorial/sample_input.h5ad [following]
--2024-09-13 20:55:45--  https://raw.githubusercontent.com/camlab-bioml/starling/main/docs/source/tutorial/sample_input.h5ad
Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.111.133, 185.199.108.133, ...
Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.

HTTP request sent, awaiting response... 

200 OK
Length: 2639432 (2.5M) [application/octet-stream]
Saving to: ‘sample_input.h5ad.1’


sample_input.h5ad.1   0%[                    ]       0  --.-KB/s               

sample_input.h5ad.1 100%[===================>]   2.52M  --.-KB/s    in 0.05s   

2024-09-13 20:55:45 (46.6 MB/s) - ‘sample_input.h5ad.1’ saved [2639432/2639432]

• The input anndata object should contain a cell-by-protein matrix of segmented single-cell expression profiles in the .X position. Optionally, cell size information can also be provided as a column of the .obs DataFrame. In this case model_cell_size should be set to True and the column specified in the cell_size_col_nameargument.

• Users might want to arcsinh protein expressions in *.h5ad (for example, sample_input.h5ad).

• The utility.py provides an easy setup of GMM, KM (Kmeans) or PG (PhenoGraph).

• Default settings are applied to each method.

• k can be omitted when PG is used.

Setting initializations

The example below uses defualt parameter settings based on benchmarking results (more details in manuscript).

st = starling.ST(adata)

/home/runner/work/starling/starling/starling/starling.py:78: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`
  torch.tensor(self.adata.obs[self.cell_size_col_name])

A list of parameters are shown:

• adata: annDATA object of the sample

• dist_option (default: ‘T’): T for Student-T (df=2) and N for Normal (Gaussian)

• singlet_prop (default: 0.6): the proportion of anticipated segmentation error free cells

• model_cell_size (default: ‘Y’): Y for incoporating cell size in the model and N otherwise

• cell_size_col_name (default: ‘area’): area is the column name in anndata.obs dataframe

• model_zplane_overlap (default: ‘Y’): Y for modeling z-plane overlap when cell size is modelled and N otherwise Note: if the user sets model_cell_size = ‘N’, then model_zplane_overlap is ignored

• model_regularizer (default: 1): Regularizier term impose on synthetic doublet loss (BCE)

• learning_rate (default: 1e-3): The learning rate of ADAM optimizer for STARLING

Equivalent to the above example:

st = starling.ST(adata, 'T', 'Y', 'area', 'Y', 1, 1e-3)

Setting training log

Once training starts, a new directory ‘log’ will be created.

## log training results via tensorboard
log_tb = pl.loggers.TensorBoardLogger(save_dir="log")

One could view the training information via tensorboard. Please refer to torch lightning (https://lightning.ai/docs/pytorch/stable/api_references.html#profiler) for other possible loggers.

Setting early stopping criterion

## set early stopping criterion
cb_early_stopping = pl.callbacks.EarlyStopping(monitor="train_loss", mode="min", verbose=False)

Training loss is monitored.

Training Starling

## train ST
st.train_and_fit(
    callbacks=[cb_early_stopping],
    logger=[log_tb],
)

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GPU available: False, used: False

TPU available: False, using: 0 TPU cores

HPU available: False, using: 0 HPUs

  | Name | Type | Params | Mode
-------------------------------------
-------------------------------------
0         Trainable params
0         Non-trainable params
0         Total params
0.000     Total estimated model params size (MB)
0         Modules in train mode
0         Modules in eval mode

/home/runner/work/starling/starling/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py:557: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
  warnings.warn(_create_warning_msg(

/home/runner/work/starling/starling/.venv/lib/python3.12/site-packages/pytorch_lightning/loops/fit_loop.py:298: The number of training batches (27) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.

Training: |          | 0/? [00:00<?, ?it/s]

Training:   0%|          | 0/27 [00:00<?, ?it/s]

Epoch 0:   0%|          | 0/27 [00:00<?, ?it/s] 

Epoch 0:   4%|▎         | 1/27 [00:00<00:02, 10.37it/s]

Epoch 0:   4%|▎         | 1/27 [00:00<00:02, 10.24it/s, v_num=0, train_loss_step=88.70]

Epoch 0:   7%|▋         | 2/27 [00:00<00:01, 13.78it/s, v_num=0, train_loss_step=88.70]

Epoch 0:   7%|▋         | 2/27 [00:00<00:01, 13.69it/s, v_num=0, train_loss_step=88.50]

/home/runner/work/starling/starling/starling/utility.py:509: UserWarning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matrices or `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3697.)
  prob_data_given_gamma_d1.T + log_delta[1] - prob_data

Epoch 0:  11%|█         | 3/27 [00:00<00:01, 15.29it/s, v_num=0, train_loss_step=88.50]

Epoch 0:  11%|█         | 3/27 [00:00<00:01, 15.23it/s, v_num=0, train_loss_step=88.40]

Epoch 0:  15%|█▍        | 4/27 [00:00<00:01, 16.40it/s, v_num=0, train_loss_step=88.40]

Epoch 0:  15%|█▍        | 4/27 [00:00<00:01, 16.34it/s, v_num=0, train_loss_step=88.50]

Epoch 0:  19%|█▊        | 5/27 [00:00<00:01, 17.00it/s, v_num=0, train_loss_step=88.50]

Epoch 0:  19%|█▊        | 5/27 [00:00<00:01, 16.95it/s, v_num=0, train_loss_step=88.30]

Epoch 0:  22%|██▏       | 6/27 [00:00<00:01, 16.69it/s, v_num=0, train_loss_step=88.30]

Epoch 0:  22%|██▏       | 6/27 [00:00<00:01, 16.63it/s, v_num=0, train_loss_step=88.30]

Epoch 0:  26%|██▌       | 7/27 [00:00<00:01, 17.12it/s, v_num=0, train_loss_step=88.30]

Epoch 0:  26%|██▌       | 7/27 [00:00<00:01, 17.09it/s, v_num=0, train_loss_step=88.60]

Epoch 0:  30%|██▉       | 8/27 [00:00<00:01, 16.46it/s, v_num=0, train_loss_step=88.60]

Epoch 0:  30%|██▉       | 8/27 [00:00<00:01, 16.43it/s, v_num=0, train_loss_step=88.70]

Epoch 0:  33%|███▎      | 9/27 [00:00<00:01, 16.69it/s, v_num=0, train_loss_step=88.70]

Epoch 0:  33%|███▎      | 9/27 [00:00<00:01, 16.66it/s, v_num=0, train_loss_step=88.30]

Epoch 0:  37%|███▋      | 10/27 [00:00<00:01, 16.93it/s, v_num=0, train_loss_step=88.30]

Epoch 0:  37%|███▋      | 10/27 [00:00<00:01, 16.90it/s, v_num=0, train_loss_step=88.90]

Epoch 0:  41%|████      | 11/27 [00:00<00:00, 17.14it/s, v_num=0, train_loss_step=88.90]

Epoch 0:  41%|████      | 11/27 [00:00<00:00, 17.12it/s, v_num=0, train_loss_step=88.50]

Epoch 0:  44%|████▍     | 12/27 [00:00<00:00, 17.36it/s, v_num=0, train_loss_step=88.50]

Epoch 0:  44%|████▍     | 12/27 [00:00<00:00, 17.34it/s, v_num=0, train_loss_step=88.30]

Epoch 0:  48%|████▊     | 13/27 [00:00<00:00, 17.57it/s, v_num=0, train_loss_step=88.30]

Epoch 0:  48%|████▊     | 13/27 [00:00<00:00, 17.54it/s, v_num=0, train_loss_step=88.10]

Epoch 0:  52%|█████▏    | 14/27 [00:00<00:00, 17.73it/s, v_num=0, train_loss_step=88.10]

Epoch 0:  52%|█████▏    | 14/27 [00:00<00:00, 17.71it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  56%|█████▌    | 15/27 [00:00<00:00, 17.90it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  56%|█████▌    | 15/27 [00:00<00:00, 17.88it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  59%|█████▉    | 16/27 [00:00<00:00, 17.95it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  59%|█████▉    | 16/27 [00:00<00:00, 17.94it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  63%|██████▎   | 17/27 [00:00<00:00, 18.01it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  63%|██████▎   | 17/27 [00:00<00:00, 17.99it/s, v_num=0, train_loss_step=88.60]

Epoch 0:  67%|██████▋   | 18/27 [00:00<00:00, 18.08it/s, v_num=0, train_loss_step=88.60]

Epoch 0:  67%|██████▋   | 18/27 [00:00<00:00, 18.06it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  70%|███████   | 19/27 [00:01<00:00, 18.14it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  70%|███████   | 19/27 [00:01<00:00, 18.12it/s, v_num=0, train_loss_step=88.20]

Epoch 0:  74%|███████▍  | 20/27 [00:01<00:00, 18.22it/s, v_num=0, train_loss_step=88.20]

Epoch 0:  74%|███████▍  | 20/27 [00:01<00:00, 18.20it/s, v_num=0, train_loss_step=88.10]

Epoch 0:  78%|███████▊  | 21/27 [00:01<00:00, 18.27it/s, v_num=0, train_loss_step=88.10]

Epoch 0:  78%|███████▊  | 21/27 [00:01<00:00, 18.25it/s, v_num=0, train_loss_step=87.90]

Epoch 0:  81%|████████▏ | 22/27 [00:01<00:00, 18.35it/s, v_num=0, train_loss_step=87.90]

Epoch 0:  81%|████████▏ | 22/27 [00:01<00:00, 18.33it/s, v_num=0, train_loss_step=88.20]

Epoch 0:  85%|████████▌ | 23/27 [00:01<00:00, 18.42it/s, v_num=0, train_loss_step=88.20]

Epoch 0:  85%|████████▌ | 23/27 [00:01<00:00, 18.40it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  89%|████████▉ | 24/27 [00:01<00:00, 18.46it/s, v_num=0, train_loss_step=88.00]

Epoch 0:  89%|████████▉ | 24/27 [00:01<00:00, 18.44it/s, v_num=0, train_loss_step=88.10]

Epoch 0:  93%|█████████▎| 25/27 [00:01<00:00, 18.34it/s, v_num=0, train_loss_step=88.10]

Epoch 0:  93%|█████████▎| 25/27 [00:01<00:00, 18.32it/s, v_num=0, train_loss_step=88.10]

Epoch 0:  96%|█████████▋| 26/27 [00:01<00:00, 18.24it/s, v_num=0, train_loss_step=88.10]

Epoch 0:  96%|█████████▋| 26/27 [00:01<00:00, 18.22it/s, v_num=0, train_loss_step=87.80]

Epoch 0: 100%|██████████| 27/27 [00:01<00:00, 18.43it/s, v_num=0, train_loss_step=87.80]

Epoch 0: 100%|██████████| 27/27 [00:01<00:00, 18.42it/s, v_num=0, train_loss_step=88.30]

Epoch 0: 100%|██████████| 27/27 [00:01<00:00, 18.36it/s, v_num=0, train_loss_step=88.30, train_loss_epoch=88.30]

Epoch 0:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=88.30, train_loss_epoch=88.30]         

Epoch 1:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=88.30, train_loss_epoch=88.30]

Epoch 1:   4%|▎         | 1/27 [00:01<00:26,  0.96it/s, v_num=0, train_loss_step=88.30, train_loss_epoch=88.30]

Epoch 1:   4%|▎         | 1/27 [00:01<00:27,  0.96it/s, v_num=0, train_loss_step=87.70, train_loss_epoch=88.30]

Epoch 1:   7%|▋         | 2/27 [00:01<00:13,  1.79it/s, v_num=0, train_loss_step=87.70, train_loss_epoch=88.30]

Epoch 1:   7%|▋         | 2/27 [00:01<00:13,  1.79it/s, v_num=0, train_loss_step=87.50, train_loss_epoch=88.30]

Epoch 1:  11%|█         | 3/27 [00:01<00:09,  2.54it/s, v_num=0, train_loss_step=87.50, train_loss_epoch=88.30]

Epoch 1:  11%|█         | 3/27 [00:01<00:09,  2.53it/s, v_num=0, train_loss_step=87.60, train_loss_epoch=88.30]

Epoch 1:  15%|█▍        | 4/27 [00:01<00:07,  3.21it/s, v_num=0, train_loss_step=87.60, train_loss_epoch=88.30]

Epoch 1:  15%|█▍        | 4/27 [00:01<00:07,  3.21it/s, v_num=0, train_loss_step=87.80, train_loss_epoch=88.30]

Epoch 1:  19%|█▊        | 5/27 [00:01<00:05,  3.81it/s, v_num=0, train_loss_step=87.80, train_loss_epoch=88.30]

Epoch 1:  19%|█▊        | 5/27 [00:01<00:05,  3.81it/s, v_num=0, train_loss_step=88.10, train_loss_epoch=88.30]

Epoch 1:  22%|██▏       | 6/27 [00:01<00:04,  4.29it/s, v_num=0, train_loss_step=88.10, train_loss_epoch=88.30]

Epoch 1:  22%|██▏       | 6/27 [00:01<00:04,  4.29it/s, v_num=0, train_loss_step=88.20, train_loss_epoch=88.30]

Epoch 1:  26%|██▌       | 7/27 [00:01<00:04,  4.82it/s, v_num=0, train_loss_step=88.20, train_loss_epoch=88.30]

Epoch 1:  26%|██▌       | 7/27 [00:01<00:04,  4.82it/s, v_num=0, train_loss_step=88.00, train_loss_epoch=88.30]

Epoch 1:  30%|██▉       | 8/27 [00:01<00:03,  5.30it/s, v_num=0, train_loss_step=88.00, train_loss_epoch=88.30]

Epoch 1:  30%|██▉       | 8/27 [00:01<00:03,  5.30it/s, v_num=0, train_loss_step=87.70, train_loss_epoch=88.30]

Epoch 1:  33%|███▎      | 9/27 [00:01<00:03,  5.76it/s, v_num=0, train_loss_step=87.70, train_loss_epoch=88.30]

Epoch 1:  33%|███▎      | 9/27 [00:01<00:03,  5.75it/s, v_num=0, train_loss_step=88.20, train_loss_epoch=88.30]

Epoch 1:  37%|███▋      | 10/27 [00:01<00:02,  6.12it/s, v_num=0, train_loss_step=88.20, train_loss_epoch=88.30]

Epoch 1:  37%|███▋      | 10/27 [00:01<00:02,  6.12it/s, v_num=0, train_loss_step=87.80, train_loss_epoch=88.30]

Epoch 1:  41%|████      | 11/27 [00:01<00:02,  6.48it/s, v_num=0, train_loss_step=87.80, train_loss_epoch=88.30]

Epoch 1:  41%|████      | 11/27 [00:01<00:02,  6.48it/s, v_num=0, train_loss_step=87.40, train_loss_epoch=88.30]

Epoch 1:  44%|████▍     | 12/27 [00:01<00:02,  6.83it/s, v_num=0, train_loss_step=87.40, train_loss_epoch=88.30]

Epoch 1:  44%|████▍     | 12/27 [00:01<00:02,  6.82it/s, v_num=0, train_loss_step=87.50, train_loss_epoch=88.30]

Epoch 1:  48%|████▊     | 13/27 [00:01<00:01,  7.15it/s, v_num=0, train_loss_step=87.50, train_loss_epoch=88.30]

Epoch 1:  48%|████▊     | 13/27 [00:01<00:01,  7.15it/s, v_num=0, train_loss_step=87.70, train_loss_epoch=88.30]

Epoch 1:  52%|█████▏    | 14/27 [00:01<00:01,  7.47it/s, v_num=0, train_loss_step=87.70, train_loss_epoch=88.30]

Epoch 1:  52%|█████▏    | 14/27 [00:01<00:01,  7.46it/s, v_num=0, train_loss_step=87.40, train_loss_epoch=88.30]

Epoch 1:  56%|█████▌    | 15/27 [00:01<00:01,  7.73it/s, v_num=0, train_loss_step=87.40, train_loss_epoch=88.30]

Epoch 1:  56%|█████▌    | 15/27 [00:01<00:01,  7.73it/s, v_num=0, train_loss_step=87.60, train_loss_epoch=88.30]

Epoch 1:  59%|█████▉    | 16/27 [00:02<00:01,  7.96it/s, v_num=0, train_loss_step=87.60, train_loss_epoch=88.30]

Epoch 1:  59%|█████▉    | 16/27 [00:02<00:01,  7.96it/s, v_num=0, train_loss_step=87.70, train_loss_epoch=88.30]

Epoch 1:  63%|██████▎   | 17/27 [00:02<00:01,  8.19it/s, v_num=0, train_loss_step=87.70, train_loss_epoch=88.30]

Epoch 1:  63%|██████▎   | 17/27 [00:02<00:01,  8.18it/s, v_num=0, train_loss_step=87.30, train_loss_epoch=88.30]

Epoch 1:  67%|██████▋   | 18/27 [00:02<00:01,  8.41it/s, v_num=0, train_loss_step=87.30, train_loss_epoch=88.30]

Epoch 1:  67%|██████▋   | 18/27 [00:02<00:01,  8.41it/s, v_num=0, train_loss_step=87.40, train_loss_epoch=88.30]

Epoch 1:  70%|███████   | 19/27 [00:02<00:00,  8.64it/s, v_num=0, train_loss_step=87.40, train_loss_epoch=88.30]

Epoch 1:  70%|███████   | 19/27 [00:02<00:00,  8.63it/s, v_num=0, train_loss_step=87.50, train_loss_epoch=88.30]

Epoch 1:  74%|███████▍  | 20/27 [00:02<00:00,  8.85it/s, v_num=0, train_loss_step=87.50, train_loss_epoch=88.30]

Epoch 1:  74%|███████▍  | 20/27 [00:02<00:00,  8.85it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=88.30]

Epoch 1:  78%|███████▊  | 21/27 [00:02<00:00,  9.04it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=88.30]

Epoch 1:  78%|███████▊  | 21/27 [00:02<00:00,  9.04it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=88.30]

Epoch 1:  81%|████████▏ | 22/27 [00:02<00:00,  9.23it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=88.30]

Epoch 1:  81%|████████▏ | 22/27 [00:02<00:00,  9.23it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=88.30]

Epoch 1:  85%|████████▌ | 23/27 [00:02<00:00,  9.41it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=88.30]

Epoch 1:  85%|████████▌ | 23/27 [00:02<00:00,  9.40it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=88.30]

Epoch 1:  89%|████████▉ | 24/27 [00:02<00:00,  9.59it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=88.30]

Epoch 1:  89%|████████▉ | 24/27 [00:02<00:00,  9.58it/s, v_num=0, train_loss_step=86.70, train_loss_epoch=88.30]

Epoch 1:  93%|█████████▎| 25/27 [00:02<00:00,  9.78it/s, v_num=0, train_loss_step=86.70, train_loss_epoch=88.30]

Epoch 1:  93%|█████████▎| 25/27 [00:02<00:00,  9.78it/s, v_num=0, train_loss_step=87.80, train_loss_epoch=88.30]

Epoch 1:  96%|█████████▋| 26/27 [00:02<00:00,  9.96it/s, v_num=0, train_loss_step=87.80, train_loss_epoch=88.30]

Epoch 1:  96%|█████████▋| 26/27 [00:02<00:00,  9.96it/s, v_num=0, train_loss_step=87.40, train_loss_epoch=88.30]

Epoch 1: 100%|██████████| 27/27 [00:02<00:00, 10.19it/s, v_num=0, train_loss_step=87.40, train_loss_epoch=88.30]

Epoch 1: 100%|██████████| 27/27 [00:02<00:00, 10.19it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=88.30]

Epoch 1: 100%|██████████| 27/27 [00:02<00:00, 10.18it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=87.50]

Epoch 1:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=87.50]         

Epoch 2:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=87.50]

Epoch 2:   4%|▎         | 1/27 [00:00<00:17,  1.46it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=87.50]

Epoch 2:   4%|▎         | 1/27 [00:00<00:17,  1.45it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:   7%|▋         | 2/27 [00:00<00:10,  2.37it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:   7%|▋         | 2/27 [00:00<00:10,  2.37it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=87.50]

Epoch 2:  11%|█         | 3/27 [00:00<00:07,  3.26it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=87.50]

Epoch 2:  11%|█         | 3/27 [00:00<00:07,  3.26it/s, v_num=0, train_loss_step=87.30, train_loss_epoch=87.50]

Epoch 2:  15%|█▍        | 4/27 [00:01<00:06,  3.37it/s, v_num=0, train_loss_step=87.30, train_loss_epoch=87.50]

Epoch 2:  15%|█▍        | 4/27 [00:01<00:06,  3.37it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  19%|█▊        | 5/27 [00:01<00:06,  3.40it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  19%|█▊        | 5/27 [00:01<00:06,  3.39it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  22%|██▏       | 6/27 [00:01<00:05,  3.92it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  22%|██▏       | 6/27 [00:01<00:05,  3.92it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=87.50]

Epoch 2:  26%|██▌       | 7/27 [00:01<00:04,  4.41it/s, v_num=0, train_loss_step=87.20, train_loss_epoch=87.50]

Epoch 2:  26%|██▌       | 7/27 [00:01<00:04,  4.41it/s, v_num=0, train_loss_step=87.10, train_loss_epoch=87.50]

Epoch 2:  30%|██▉       | 8/27 [00:01<00:03,  4.89it/s, v_num=0, train_loss_step=87.10, train_loss_epoch=87.50]

Epoch 2:  30%|██▉       | 8/27 [00:01<00:03,  4.89it/s, v_num=0, train_loss_step=86.80, train_loss_epoch=87.50]

Epoch 2:  33%|███▎      | 9/27 [00:01<00:03,  5.31it/s, v_num=0, train_loss_step=86.80, train_loss_epoch=87.50]

Epoch 2:  33%|███▎      | 9/27 [00:01<00:03,  5.30it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  37%|███▋      | 10/27 [00:01<00:02,  5.72it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  37%|███▋      | 10/27 [00:01<00:02,  5.72it/s, v_num=0, train_loss_step=86.70, train_loss_epoch=87.50]

Epoch 2:  41%|████      | 11/27 [00:01<00:02,  6.12it/s, v_num=0, train_loss_step=86.70, train_loss_epoch=87.50]

Epoch 2:  41%|████      | 11/27 [00:01<00:02,  6.11it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  44%|████▍     | 12/27 [00:01<00:02,  6.50it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  44%|████▍     | 12/27 [00:01<00:02,  6.50it/s, v_num=0, train_loss_step=87.30, train_loss_epoch=87.50]

Epoch 2:  48%|████▊     | 13/27 [00:01<00:02,  6.86it/s, v_num=0, train_loss_step=87.30, train_loss_epoch=87.50]

Epoch 2:  48%|████▊     | 13/27 [00:01<00:02,  6.86it/s, v_num=0, train_loss_step=86.80, train_loss_epoch=87.50]

Epoch 2:  52%|█████▏    | 14/27 [00:01<00:01,  7.21it/s, v_num=0, train_loss_step=86.80, train_loss_epoch=87.50]

Epoch 2:  52%|█████▏    | 14/27 [00:01<00:01,  7.20it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  56%|█████▌    | 15/27 [00:02<00:01,  6.89it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  56%|█████▌    | 15/27 [00:02<00:01,  6.89it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=87.50]

Epoch 2:  59%|█████▉    | 16/27 [00:02<00:01,  7.20it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=87.50]

Epoch 2:  59%|█████▉    | 16/27 [00:02<00:01,  7.19it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  63%|██████▎   | 17/27 [00:02<00:01,  7.48it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  63%|██████▎   | 17/27 [00:02<00:01,  7.48it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=87.50]

Epoch 2:  67%|██████▋   | 18/27 [00:02<00:01,  7.75it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=87.50]

Epoch 2:  67%|██████▋   | 18/27 [00:02<00:01,  7.74it/s, v_num=0, train_loss_step=87.10, train_loss_epoch=87.50]

Epoch 2:  70%|███████   | 19/27 [00:02<00:00,  8.00it/s, v_num=0, train_loss_step=87.10, train_loss_epoch=87.50]

Epoch 2:  70%|███████   | 19/27 [00:02<00:01,  8.00it/s, v_num=0, train_loss_step=86.60, train_loss_epoch=87.50]

Epoch 2:  74%|███████▍  | 20/27 [00:02<00:00,  8.21it/s, v_num=0, train_loss_step=86.60, train_loss_epoch=87.50]

Epoch 2:  74%|███████▍  | 20/27 [00:02<00:00,  8.21it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=87.50]

Epoch 2:  78%|███████▊  | 21/27 [00:02<00:00,  8.45it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=87.50]

Epoch 2:  78%|███████▊  | 21/27 [00:02<00:00,  8.45it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  81%|████████▏ | 22/27 [00:02<00:00,  8.68it/s, v_num=0, train_loss_step=87.00, train_loss_epoch=87.50]

Epoch 2:  81%|████████▏ | 22/27 [00:02<00:00,  8.68it/s, v_num=0, train_loss_step=86.70, train_loss_epoch=87.50]

Epoch 2:  85%|████████▌ | 23/27 [00:02<00:00,  8.85it/s, v_num=0, train_loss_step=86.70, train_loss_epoch=87.50]

Epoch 2:  85%|████████▌ | 23/27 [00:02<00:00,  8.85it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=87.50]

Epoch 2:  89%|████████▉ | 24/27 [00:02<00:00,  9.06it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=87.50]

Epoch 2:  89%|████████▉ | 24/27 [00:02<00:00,  9.06it/s, v_num=0, train_loss_step=86.60, train_loss_epoch=87.50]

Epoch 2:  93%|█████████▎| 25/27 [00:02<00:00,  9.26it/s, v_num=0, train_loss_step=86.60, train_loss_epoch=87.50]

Epoch 2:  93%|█████████▎| 25/27 [00:02<00:00,  9.26it/s, v_num=0, train_loss_step=86.50, train_loss_epoch=87.50]

Epoch 2:  96%|█████████▋| 26/27 [00:02<00:00,  9.46it/s, v_num=0, train_loss_step=86.50, train_loss_epoch=87.50]

Epoch 2:  96%|█████████▋| 26/27 [00:02<00:00,  9.46it/s, v_num=0, train_loss_step=86.70, train_loss_epoch=87.50]

Epoch 2: 100%|██████████| 27/27 [00:02<00:00,  9.69it/s, v_num=0, train_loss_step=86.70, train_loss_epoch=87.50]

Epoch 2: 100%|██████████| 27/27 [00:02<00:00,  9.69it/s, v_num=0, train_loss_step=86.50, train_loss_epoch=87.50]

Epoch 2: 100%|██████████| 27/27 [00:02<00:00,  9.68it/s, v_num=0, train_loss_step=86.50, train_loss_epoch=86.90]

Epoch 2:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=86.50, train_loss_epoch=86.90]         

Epoch 3:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=86.50, train_loss_epoch=86.90]

Epoch 3:   4%|▎         | 1/27 [00:00<00:09,  2.61it/s, v_num=0, train_loss_step=86.50, train_loss_epoch=86.90]

Epoch 3:   4%|▎         | 1/27 [00:00<00:10,  2.60it/s, v_num=0, train_loss_step=86.30, train_loss_epoch=86.90]

Epoch 3:   7%|▋         | 2/27 [00:00<00:05,  4.58it/s, v_num=0, train_loss_step=86.30, train_loss_epoch=86.90]

Epoch 3:   7%|▋         | 2/27 [00:00<00:05,  4.57it/s, v_num=0, train_loss_step=86.10, train_loss_epoch=86.90]

Epoch 3:  11%|█         | 3/27 [00:00<00:04,  5.78it/s, v_num=0, train_loss_step=86.10, train_loss_epoch=86.90]

Epoch 3:  11%|█         | 3/27 [00:00<00:04,  5.77it/s, v_num=0, train_loss_step=86.80, train_loss_epoch=86.90]

Epoch 3:  15%|█▍        | 4/27 [00:00<00:03,  7.00it/s, v_num=0, train_loss_step=86.80, train_loss_epoch=86.90]

Epoch 3:  15%|█▍        | 4/27 [00:00<00:03,  6.99it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=86.90]

Epoch 3:  19%|█▊        | 5/27 [00:00<00:02,  8.05it/s, v_num=0, train_loss_step=86.90, train_loss_epoch=86.90]

Epoch 3:  19%|█▊        | 5/27 [00:00<00:02,  8.04it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=86.90]

Epoch 3:  22%|██▏       | 6/27 [00:00<00:02,  8.73it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=86.90]

Epoch 3:  22%|██▏       | 6/27 [00:00<00:02,  8.72it/s, v_num=0, train_loss_step=86.60, train_loss_epoch=86.90]

Epoch 3:  26%|██▌       | 7/27 [00:00<00:02,  9.47it/s, v_num=0, train_loss_step=86.60, train_loss_epoch=86.90]

Epoch 3:  26%|██▌       | 7/27 [00:00<00:02,  9.46it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=86.90]

Epoch 3:  30%|██▉       | 8/27 [00:00<00:01, 10.15it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=86.90]

Epoch 3:  30%|██▉       | 8/27 [00:00<00:01, 10.14it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=86.90]

Epoch 3:  33%|███▎      | 9/27 [00:00<00:01, 10.70it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=86.90]

Epoch 3:  33%|███▎      | 9/27 [00:00<00:01, 10.69it/s, v_num=0, train_loss_step=86.60, train_loss_epoch=86.90]

Epoch 3:  37%|███▋      | 10/27 [00:00<00:01, 11.20it/s, v_num=0, train_loss_step=86.60, train_loss_epoch=86.90]

Epoch 3:  37%|███▋      | 10/27 [00:00<00:01, 11.19it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=86.90]

Epoch 3:  41%|████      | 11/27 [00:00<00:01, 11.64it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=86.90]

Epoch 3:  41%|████      | 11/27 [00:00<00:01, 11.63it/s, v_num=0, train_loss_step=86.80, train_loss_epoch=86.90]

Epoch 3:  44%|████▍     | 12/27 [00:00<00:01, 12.06it/s, v_num=0, train_loss_step=86.80, train_loss_epoch=86.90]

Epoch 3:  44%|████▍     | 12/27 [00:00<00:01, 12.05it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3:  48%|████▊     | 13/27 [00:01<00:01, 12.48it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3:  48%|████▊     | 13/27 [00:01<00:01, 12.47it/s, v_num=0, train_loss_step=86.30, train_loss_epoch=86.90]

Epoch 3:  52%|█████▏    | 14/27 [00:01<00:01, 12.78it/s, v_num=0, train_loss_step=86.30, train_loss_epoch=86.90]

Epoch 3:  52%|█████▏    | 14/27 [00:01<00:01, 12.77it/s, v_num=0, train_loss_step=86.10, train_loss_epoch=86.90]

Epoch 3:  56%|█████▌    | 15/27 [00:01<00:00, 13.01it/s, v_num=0, train_loss_step=86.10, train_loss_epoch=86.90]

Epoch 3:  56%|█████▌    | 15/27 [00:01<00:00, 13.00it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=86.90]

Epoch 3:  59%|█████▉    | 16/27 [00:01<00:00, 13.34it/s, v_num=0, train_loss_step=86.40, train_loss_epoch=86.90]

Epoch 3:  59%|█████▉    | 16/27 [00:01<00:00, 13.33it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3:  63%|██████▎   | 17/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3:  63%|██████▎   | 17/27 [00:01<00:00, 13.56it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.90]

Epoch 3:  67%|██████▋   | 18/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.90]

Epoch 3:  67%|██████▋   | 18/27 [00:01<00:00, 13.79it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=86.90]

Epoch 3:  70%|███████   | 19/27 [00:01<00:00, 14.02it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=86.90]

Epoch 3:  70%|███████   | 19/27 [00:01<00:00, 14.01it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.90]

Epoch 3:  74%|███████▍  | 20/27 [00:01<00:00, 14.19it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.90]

Epoch 3:  74%|███████▍  | 20/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.90]

Epoch 3:  78%|███████▊  | 21/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.90]

Epoch 3:  78%|███████▊  | 21/27 [00:01<00:00, 14.34it/s, v_num=0, train_loss_step=85.80, train_loss_epoch=86.90]

Epoch 3:  81%|████████▏ | 22/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=85.80, train_loss_epoch=86.90]

Epoch 3:  81%|████████▏ | 22/27 [00:01<00:00, 14.49it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3:  85%|████████▌ | 23/27 [00:01<00:00, 14.70it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3:  85%|████████▌ | 23/27 [00:01<00:00, 14.69it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3:  89%|████████▉ | 24/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3:  89%|████████▉ | 24/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=86.10, train_loss_epoch=86.90]

Epoch 3:  93%|█████████▎| 25/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=86.10, train_loss_epoch=86.90]

Epoch 3:  93%|█████████▎| 25/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=86.10, train_loss_epoch=86.90]

Epoch 3:  96%|█████████▋| 26/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=86.10, train_loss_epoch=86.90]

Epoch 3:  96%|█████████▋| 26/27 [00:01<00:00, 15.08it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3: 100%|██████████| 27/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.90]

Epoch 3: 100%|██████████| 27/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=86.90]

Epoch 3: 100%|██████████| 27/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=86.20]

Epoch 3:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=86.20]         

Epoch 4:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=86.20]

Epoch 4:   4%|▎         | 1/27 [00:00<00:08,  2.93it/s, v_num=0, train_loss_step=86.20, train_loss_epoch=86.20]

Epoch 4:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=86.20]

Epoch 4:   7%|▋         | 2/27 [00:00<00:04,  5.00it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=86.20]

Epoch 4:   7%|▋         | 2/27 [00:00<00:05,  4.99it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.20]

Epoch 4:  11%|█         | 3/27 [00:00<00:03,  6.61it/s, v_num=0, train_loss_step=85.90, train_loss_epoch=86.20]

Epoch 4:  11%|█         | 3/27 [00:00<00:03,  6.60it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.20]

Epoch 4:  15%|█▍        | 4/27 [00:00<00:02,  7.94it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.20]

Epoch 4:  15%|█▍        | 4/27 [00:00<00:02,  7.93it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.20]

Epoch 4:  19%|█▊        | 5/27 [00:00<00:02,  8.83it/s, v_num=0, train_loss_step=86.00, train_loss_epoch=86.20]

Epoch 4:  19%|█▊        | 5/27 [00:00<00:02,  8.82it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  22%|██▏       | 6/27 [00:00<00:02,  9.63it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  22%|██▏       | 6/27 [00:00<00:02,  9.62it/s, v_num=0, train_loss_step=85.40, train_loss_epoch=86.20]

Epoch 4:  26%|██▌       | 7/27 [00:00<00:01, 10.33it/s, v_num=0, train_loss_step=85.40, train_loss_epoch=86.20]

Epoch 4:  26%|██▌       | 7/27 [00:00<00:01, 10.32it/s, v_num=0, train_loss_step=86.30, train_loss_epoch=86.20]

Epoch 4:  30%|██▉       | 8/27 [00:00<00:01, 10.98it/s, v_num=0, train_loss_step=86.30, train_loss_epoch=86.20]

Epoch 4:  30%|██▉       | 8/27 [00:00<00:01, 10.96it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  33%|███▎      | 9/27 [00:00<00:01, 11.61it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  33%|███▎      | 9/27 [00:00<00:01, 11.60it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  37%|███▋      | 10/27 [00:00<00:01, 12.15it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  37%|███▋      | 10/27 [00:00<00:01, 12.14it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  41%|████      | 11/27 [00:00<00:01, 12.53it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  41%|████      | 11/27 [00:00<00:01, 12.52it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  44%|████▍     | 12/27 [00:00<00:01, 12.81it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  44%|████▍     | 12/27 [00:00<00:01, 12.80it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  48%|████▊     | 13/27 [00:00<00:01, 13.14it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  48%|████▊     | 13/27 [00:00<00:01, 13.13it/s, v_num=0, train_loss_step=85.40, train_loss_epoch=86.20]

Epoch 4:  52%|█████▏    | 14/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=85.40, train_loss_epoch=86.20]

Epoch 4:  52%|█████▏    | 14/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  56%|█████▌    | 15/27 [00:01<00:00, 13.87it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  56%|█████▌    | 15/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  59%|█████▉    | 16/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  59%|█████▉    | 16/27 [00:01<00:00, 14.14it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  63%|██████▎   | 17/27 [00:01<00:00, 14.42it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  63%|██████▎   | 17/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=86.20]

Epoch 4:  67%|██████▋   | 18/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=86.20]

Epoch 4:  67%|██████▋   | 18/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  70%|███████   | 19/27 [00:01<00:00, 14.82it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  70%|███████   | 19/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  74%|███████▍  | 20/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4:  74%|███████▍  | 20/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=86.20]

Epoch 4:  78%|███████▊  | 21/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=86.20]

Epoch 4:  78%|███████▊  | 21/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=85.20, train_loss_epoch=86.20]

Epoch 4:  81%|████████▏ | 22/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=85.20, train_loss_epoch=86.20]

Epoch 4:  81%|████████▏ | 22/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  85%|████████▌ | 23/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  85%|████████▌ | 23/27 [00:01<00:00, 15.46it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=86.20]

Epoch 4:  89%|████████▉ | 24/27 [00:01<00:00, 15.64it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=86.20]

Epoch 4:  89%|████████▉ | 24/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=86.20]

Epoch 4:  93%|█████████▎| 25/27 [00:01<00:00, 15.62it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=86.20]

Epoch 4:  93%|█████████▎| 25/27 [00:01<00:00, 15.61it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  96%|█████████▋| 26/27 [00:01<00:00, 15.79it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=86.20]

Epoch 4:  96%|█████████▋| 26/27 [00:01<00:00, 15.78it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4: 100%|██████████| 27/27 [00:01<00:00, 16.03it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=86.20]

Epoch 4: 100%|██████████| 27/27 [00:01<00:00, 16.02it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=86.20]

Epoch 4: 100%|██████████| 27/27 [00:01<00:00, 16.01it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=85.60]

Epoch 4:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=85.60]         

Epoch 5:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=85.60]

Epoch 5:   4%|▎         | 1/27 [00:00<00:09,  2.86it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=85.60]

Epoch 5:   4%|▎         | 1/27 [00:00<00:09,  2.84it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=85.60]

Epoch 5:   7%|▋         | 2/27 [00:00<00:05,  4.90it/s, v_num=0, train_loss_step=85.70, train_loss_epoch=85.60]

Epoch 5:   7%|▋         | 2/27 [00:00<00:05,  4.89it/s, v_num=0, train_loss_step=85.40, train_loss_epoch=85.60]

Epoch 5:  11%|█         | 3/27 [00:00<00:03,  6.42it/s, v_num=0, train_loss_step=85.40, train_loss_epoch=85.60]

Epoch 5:  11%|█         | 3/27 [00:00<00:03,  6.41it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=85.60]

Epoch 5:  15%|█▍        | 4/27 [00:00<00:03,  7.38it/s, v_num=0, train_loss_step=85.50, train_loss_epoch=85.60]

Epoch 5:  15%|█▍        | 4/27 [00:00<00:03,  7.36it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  19%|█▊        | 5/27 [00:00<00:02,  8.44it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  19%|█▊        | 5/27 [00:00<00:02,  8.43it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  22%|██▏       | 6/27 [00:00<00:02,  9.22it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  22%|██▏       | 6/27 [00:00<00:02,  9.20it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=85.60]

Epoch 5:  26%|██▌       | 7/27 [00:00<00:02,  9.85it/s, v_num=0, train_loss_step=85.60, train_loss_epoch=85.60]

Epoch 5:  26%|██▌       | 7/27 [00:00<00:02,  9.83it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  30%|██▉       | 8/27 [00:00<00:01, 10.45it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  30%|██▉       | 8/27 [00:00<00:01, 10.44it/s, v_num=0, train_loss_step=85.00, train_loss_epoch=85.60]

Epoch 5:  33%|███▎      | 9/27 [00:00<00:01, 10.98it/s, v_num=0, train_loss_step=85.00, train_loss_epoch=85.60]

Epoch 5:  33%|███▎      | 9/27 [00:00<00:01, 10.97it/s, v_num=0, train_loss_step=85.20, train_loss_epoch=85.60]

Epoch 5:  37%|███▋      | 10/27 [00:00<00:01, 11.44it/s, v_num=0, train_loss_step=85.20, train_loss_epoch=85.60]

Epoch 5:  37%|███▋      | 10/27 [00:00<00:01, 11.42it/s, v_num=0, train_loss_step=85.20, train_loss_epoch=85.60]

Epoch 5:  41%|████      | 11/27 [00:00<00:01, 11.87it/s, v_num=0, train_loss_step=85.20, train_loss_epoch=85.60]

Epoch 5:  41%|████      | 11/27 [00:00<00:01, 11.86it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  44%|████▍     | 12/27 [00:00<00:01, 12.24it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  44%|████▍     | 12/27 [00:00<00:01, 12.22it/s, v_num=0, train_loss_step=84.80, train_loss_epoch=85.60]

Epoch 5:  48%|████▊     | 13/27 [00:01<00:01, 12.63it/s, v_num=0, train_loss_step=84.80, train_loss_epoch=85.60]

Epoch 5:  48%|████▊     | 13/27 [00:01<00:01, 12.62it/s, v_num=0, train_loss_step=85.30, train_loss_epoch=85.60]

Epoch 5:  52%|█████▏    | 14/27 [00:01<00:01, 12.95it/s, v_num=0, train_loss_step=85.30, train_loss_epoch=85.60]

Epoch 5:  52%|█████▏    | 14/27 [00:01<00:01, 12.94it/s, v_num=0, train_loss_step=84.70, train_loss_epoch=85.60]

Epoch 5:  56%|█████▌    | 15/27 [00:01<00:00, 13.27it/s, v_num=0, train_loss_step=84.70, train_loss_epoch=85.60]

Epoch 5:  56%|█████▌    | 15/27 [00:01<00:00, 13.24it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.60]

Epoch 5:  59%|█████▉    | 16/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.60]

Epoch 5:  59%|█████▉    | 16/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  63%|██████▎   | 17/27 [00:01<00:00, 13.76it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  63%|██████▎   | 17/27 [00:01<00:00, 13.75it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  67%|██████▋   | 18/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  67%|██████▋   | 18/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  70%|███████   | 19/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  70%|███████   | 19/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  74%|███████▍  | 20/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  74%|███████▍  | 20/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  78%|███████▊  | 21/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  78%|███████▊  | 21/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  81%|████████▏ | 22/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.60]

Epoch 5:  81%|████████▏ | 22/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=85.00, train_loss_epoch=85.60]

Epoch 5:  85%|████████▌ | 23/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=85.00, train_loss_epoch=85.60]

Epoch 5:  85%|████████▌ | 23/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.60]

Epoch 5:  89%|████████▉ | 24/27 [00:01<00:00, 14.94it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.60]

Epoch 5:  89%|████████▉ | 24/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  93%|█████████▎| 25/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5:  93%|█████████▎| 25/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=84.80, train_loss_epoch=85.60]

Epoch 5:  96%|█████████▋| 26/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=84.80, train_loss_epoch=85.60]

Epoch 5:  96%|█████████▋| 26/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=84.70, train_loss_epoch=85.60]

Epoch 5: 100%|██████████| 27/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=84.70, train_loss_epoch=85.60]

Epoch 5: 100%|██████████| 27/27 [00:01<00:00, 15.41it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.60]

Epoch 5: 100%|██████████| 27/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.00]

Epoch 5:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.00]         

Epoch 6:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.00]

Epoch 6:   4%|▎         | 1/27 [00:00<00:08,  2.97it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.00]

Epoch 6:   4%|▎         | 1/27 [00:00<00:08,  2.95it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.00]

Epoch 6:   7%|▋         | 2/27 [00:00<00:05,  4.96it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.00]

Epoch 6:   7%|▋         | 2/27 [00:00<00:05,  4.95it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6:  11%|█         | 3/27 [00:00<00:03,  6.47it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6:  11%|█         | 3/27 [00:00<00:03,  6.46it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.00]

Epoch 6:  15%|█▍        | 4/27 [00:00<00:02,  7.67it/s, v_num=0, train_loss_step=84.90, train_loss_epoch=85.00]

Epoch 6:  15%|█▍        | 4/27 [00:00<00:03,  7.66it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  19%|█▊        | 5/27 [00:00<00:02,  8.55it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  19%|█▊        | 5/27 [00:00<00:02,  8.53it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  22%|██▏       | 6/27 [00:00<00:02,  9.23it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  22%|██▏       | 6/27 [00:00<00:02,  9.22it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.00]

Epoch 6:  26%|██▌       | 7/27 [00:00<00:02,  9.97it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.00]

Epoch 6:  26%|██▌       | 7/27 [00:00<00:02,  9.96it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.00]

Epoch 6:  30%|██▉       | 8/27 [00:00<00:01, 10.56it/s, v_num=0, train_loss_step=85.10, train_loss_epoch=85.00]

Epoch 6:  30%|██▉       | 8/27 [00:00<00:01, 10.54it/s, v_num=0, train_loss_step=84.70, train_loss_epoch=85.00]

Epoch 6:  33%|███▎      | 9/27 [00:00<00:01, 11.15it/s, v_num=0, train_loss_step=84.70, train_loss_epoch=85.00]

Epoch 6:  33%|███▎      | 9/27 [00:00<00:01, 11.14it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6:  37%|███▋      | 10/27 [00:00<00:01, 11.67it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6:  37%|███▋      | 10/27 [00:00<00:01, 11.66it/s, v_num=0, train_loss_step=84.50, train_loss_epoch=85.00]

Epoch 6:  41%|████      | 11/27 [00:00<00:01, 12.15it/s, v_num=0, train_loss_step=84.50, train_loss_epoch=85.00]

Epoch 6:  41%|████      | 11/27 [00:00<00:01, 12.14it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=85.00]

Epoch 6:  44%|████▍     | 12/27 [00:00<00:01, 12.56it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=85.00]

Epoch 6:  44%|████▍     | 12/27 [00:00<00:01, 12.54it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6:  48%|████▊     | 13/27 [00:01<00:01, 12.97it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6:  48%|████▊     | 13/27 [00:01<00:01, 12.96it/s, v_num=0, train_loss_step=84.80, train_loss_epoch=85.00]

Epoch 6:  52%|█████▏    | 14/27 [00:01<00:00, 13.31it/s, v_num=0, train_loss_step=84.80, train_loss_epoch=85.00]

Epoch 6:  52%|█████▏    | 14/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=84.80, train_loss_epoch=85.00]

Epoch 6:  56%|█████▌    | 15/27 [00:01<00:00, 13.62it/s, v_num=0, train_loss_step=84.80, train_loss_epoch=85.00]

Epoch 6:  56%|█████▌    | 15/27 [00:01<00:00, 13.61it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  59%|█████▉    | 16/27 [00:01<00:00, 13.89it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  59%|█████▉    | 16/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6:  63%|██████▎   | 17/27 [00:01<00:00, 14.13it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6:  63%|██████▎   | 17/27 [00:01<00:00, 14.12it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=85.00]

Epoch 6:  67%|██████▋   | 18/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=85.00]

Epoch 6:  67%|██████▋   | 18/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=85.00]

Epoch 6:  70%|███████   | 19/27 [00:01<00:00, 14.57it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=85.00]

Epoch 6:  70%|███████   | 19/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  74%|███████▍  | 20/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  74%|███████▍  | 20/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  78%|███████▊  | 21/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6:  78%|███████▊  | 21/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=84.30, train_loss_epoch=85.00]

Epoch 6:  81%|████████▏ | 22/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=84.30, train_loss_epoch=85.00]

Epoch 6:  81%|████████▏ | 22/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=84.30, train_loss_epoch=85.00]

Epoch 6:  85%|████████▌ | 23/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=84.30, train_loss_epoch=85.00]

Epoch 6:  85%|████████▌ | 23/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=85.00]

Epoch 6:  89%|████████▉ | 24/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=85.00]

Epoch 6:  89%|████████▉ | 24/27 [00:01<00:00, 15.41it/s, v_num=0, train_loss_step=84.50, train_loss_epoch=85.00]

Epoch 6:  93%|█████████▎| 25/27 [00:01<00:00, 15.53it/s, v_num=0, train_loss_step=84.50, train_loss_epoch=85.00]

Epoch 6:  93%|█████████▎| 25/27 [00:01<00:00, 15.52it/s, v_num=0, train_loss_step=84.30, train_loss_epoch=85.00]

Epoch 6:  96%|█████████▋| 26/27 [00:01<00:00, 15.59it/s, v_num=0, train_loss_step=84.30, train_loss_epoch=85.00]

Epoch 6:  96%|█████████▋| 26/27 [00:01<00:00, 15.58it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6: 100%|██████████| 27/27 [00:01<00:00, 15.79it/s, v_num=0, train_loss_step=84.60, train_loss_epoch=85.00]

Epoch 6: 100%|██████████| 27/27 [00:01<00:00, 15.78it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=85.00]

Epoch 6: 100%|██████████| 27/27 [00:01<00:00, 15.76it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=84.50]

Epoch 6:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=84.50]         

Epoch 7:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=84.50]

Epoch 7:   4%|▎         | 1/27 [00:00<00:08,  3.16it/s, v_num=0, train_loss_step=84.40, train_loss_epoch=84.50]

Epoch 7:   4%|▎         | 1/27 [00:00<00:08,  3.14it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:   7%|▋         | 2/27 [00:00<00:04,  5.30it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:   7%|▋         | 2/27 [00:00<00:04,  5.29it/s, v_num=0, train_loss_step=84.30, train_loss_epoch=84.50]

Epoch 7:  11%|█         | 3/27 [00:00<00:03,  7.01it/s, v_num=0, train_loss_step=84.30, train_loss_epoch=84.50]

Epoch 7:  11%|█         | 3/27 [00:00<00:03,  6.99it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=84.50]

Epoch 7:  15%|█▍        | 4/27 [00:00<00:02,  8.16it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=84.50]

Epoch 7:  15%|█▍        | 4/27 [00:00<00:02,  8.13it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  19%|█▊        | 5/27 [00:00<00:02,  9.12it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  19%|█▊        | 5/27 [00:00<00:02,  9.10it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:  22%|██▏       | 6/27 [00:00<00:02,  9.86it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:  22%|██▏       | 6/27 [00:00<00:02,  9.85it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=84.50]

Epoch 7:  26%|██▌       | 7/27 [00:00<00:01, 10.56it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=84.50]

Epoch 7:  26%|██▌       | 7/27 [00:00<00:01, 10.55it/s, v_num=0, train_loss_step=84.20, train_loss_epoch=84.50]

Epoch 7:  30%|██▉       | 8/27 [00:00<00:01, 11.12it/s, v_num=0, train_loss_step=84.20, train_loss_epoch=84.50]

Epoch 7:  30%|██▉       | 8/27 [00:00<00:01, 11.11it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=84.50]

Epoch 7:  33%|███▎      | 9/27 [00:00<00:01, 11.72it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=84.50]

Epoch 7:  33%|███▎      | 9/27 [00:00<00:01, 11.70it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:  37%|███▋      | 10/27 [00:00<00:01, 12.18it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:  37%|███▋      | 10/27 [00:00<00:01, 12.17it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  41%|████      | 11/27 [00:00<00:01, 12.62it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  41%|████      | 11/27 [00:00<00:01, 12.61it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  44%|████▍     | 12/27 [00:00<00:01, 12.88it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  44%|████▍     | 12/27 [00:00<00:01, 12.87it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  48%|████▊     | 13/27 [00:00<00:01, 13.24it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  48%|████▊     | 13/27 [00:00<00:01, 13.23it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  52%|█████▏    | 14/27 [00:01<00:00, 13.66it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  52%|█████▏    | 14/27 [00:01<00:00, 13.64it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.50]

Epoch 7:  56%|█████▌    | 15/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.50]

Epoch 7:  56%|█████▌    | 15/27 [00:01<00:00, 13.94it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  59%|█████▉    | 16/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  59%|█████▉    | 16/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:  63%|██████▎   | 17/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:  63%|██████▎   | 17/27 [00:01<00:00, 14.53it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:  67%|██████▋   | 18/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.50]

Epoch 7:  67%|██████▋   | 18/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=83.70, train_loss_epoch=84.50]

Epoch 7:  70%|███████   | 19/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=83.70, train_loss_epoch=84.50]

Epoch 7:  70%|███████   | 19/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  74%|███████▍  | 20/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  74%|███████▍  | 20/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.50]

Epoch 7:  78%|███████▊  | 21/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.50]

Epoch 7:  78%|███████▊  | 21/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=84.50, train_loss_epoch=84.50]

Epoch 7:  81%|████████▏ | 22/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=84.50, train_loss_epoch=84.50]

Epoch 7:  81%|████████▏ | 22/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  85%|████████▌ | 23/27 [00:01<00:00, 15.34it/s, v_num=0, train_loss_step=84.00, train_loss_epoch=84.50]

Epoch 7:  85%|████████▌ | 23/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  89%|████████▉ | 24/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  89%|████████▉ | 24/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=84.50]

Epoch 7:  93%|█████████▎| 25/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=83.80, train_loss_epoch=84.50]

Epoch 7:  93%|█████████▎| 25/27 [00:01<00:00, 15.48it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  96%|█████████▋| 26/27 [00:01<00:00, 15.57it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.50]

Epoch 7:  96%|█████████▋| 26/27 [00:01<00:00, 15.56it/s, v_num=0, train_loss_step=84.20, train_loss_epoch=84.50]

Epoch 7: 100%|██████████| 27/27 [00:01<00:00, 15.81it/s, v_num=0, train_loss_step=84.20, train_loss_epoch=84.50]

Epoch 7: 100%|██████████| 27/27 [00:01<00:00, 15.80it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.50]

Epoch 7: 100%|██████████| 27/27 [00:01<00:00, 15.79it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 7:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]         

Epoch 8:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:   4%|▎         | 1/27 [00:00<00:08,  2.97it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:   4%|▎         | 1/27 [00:00<00:08,  2.95it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.00]

Epoch 8:   7%|▋         | 2/27 [00:00<00:04,  5.04it/s, v_num=0, train_loss_step=84.10, train_loss_epoch=84.00]

Epoch 8:   7%|▋         | 2/27 [00:00<00:04,  5.02it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  11%|█         | 3/27 [00:00<00:03,  6.66it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  11%|█         | 3/27 [00:00<00:03,  6.64it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.00]

Epoch 8:  15%|█▍        | 4/27 [00:00<00:02,  7.84it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.00]

Epoch 8:  15%|█▍        | 4/27 [00:00<00:02,  7.83it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.00]

Epoch 8:  19%|█▊        | 5/27 [00:00<00:02,  8.86it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.00]

Epoch 8:  19%|█▊        | 5/27 [00:00<00:02,  8.85it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=84.00]

Epoch 8:  22%|██▏       | 6/27 [00:00<00:02,  9.64it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=84.00]

Epoch 8:  22%|██▏       | 6/27 [00:00<00:02,  9.62it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  26%|██▌       | 7/27 [00:00<00:01, 10.35it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  26%|██▌       | 7/27 [00:00<00:01, 10.33it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.00]

Epoch 8:  30%|██▉       | 8/27 [00:00<00:01, 10.83it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.00]

Epoch 8:  30%|██▉       | 8/27 [00:00<00:01, 10.81it/s, v_num=0, train_loss_step=83.70, train_loss_epoch=84.00]

Epoch 8:  33%|███▎      | 9/27 [00:00<00:01, 11.35it/s, v_num=0, train_loss_step=83.70, train_loss_epoch=84.00]

Epoch 8:  33%|███▎      | 9/27 [00:00<00:01, 11.34it/s, v_num=0, train_loss_step=83.40, train_loss_epoch=84.00]

Epoch 8:  37%|███▋      | 10/27 [00:00<00:01, 11.80it/s, v_num=0, train_loss_step=83.40, train_loss_epoch=84.00]

Epoch 8:  37%|███▋      | 10/27 [00:00<00:01, 11.78it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  41%|████      | 11/27 [00:00<00:01, 12.28it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  41%|████      | 11/27 [00:00<00:01, 12.27it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.00]

Epoch 8:  44%|████▍     | 12/27 [00:00<00:01, 12.65it/s, v_num=0, train_loss_step=83.90, train_loss_epoch=84.00]

Epoch 8:  44%|████▍     | 12/27 [00:00<00:01, 12.64it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  48%|████▊     | 13/27 [00:00<00:01, 13.03it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  48%|████▊     | 13/27 [00:00<00:01, 13.02it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  52%|█████▏    | 14/27 [00:01<00:00, 13.37it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  52%|█████▏    | 14/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=83.30, train_loss_epoch=84.00]

Epoch 8:  56%|█████▌    | 15/27 [00:01<00:00, 13.72it/s, v_num=0, train_loss_step=83.30, train_loss_epoch=84.00]

Epoch 8:  56%|█████▌    | 15/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.00]

Epoch 8:  59%|█████▉    | 16/27 [00:01<00:00, 13.94it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.00]

Epoch 8:  59%|█████▉    | 16/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  63%|██████▎   | 17/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  63%|██████▎   | 17/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  67%|██████▋   | 18/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=84.00]

Epoch 8:  67%|██████▋   | 18/27 [00:01<00:00, 14.43it/s, v_num=0, train_loss_step=83.70, train_loss_epoch=84.00]

Epoch 8:  70%|███████   | 19/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=83.70, train_loss_epoch=84.00]

Epoch 8:  70%|███████   | 19/27 [00:01<00:00, 14.53it/s, v_num=0, train_loss_step=83.30, train_loss_epoch=84.00]

Epoch 8:  74%|███████▍  | 20/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=83.30, train_loss_epoch=84.00]

Epoch 8:  74%|███████▍  | 20/27 [00:01<00:00, 14.71it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=84.00]

Epoch 8:  78%|███████▊  | 21/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=84.00]

Epoch 8:  78%|███████▊  | 21/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=84.00]

Epoch 8:  81%|████████▏ | 22/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=84.00]

Epoch 8:  81%|████████▏ | 22/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=84.00]

Epoch 8:  85%|████████▌ | 23/27 [00:01<00:00, 15.19it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=84.00]

Epoch 8:  85%|████████▌ | 23/27 [00:01<00:00, 15.18it/s, v_num=0, train_loss_step=83.30, train_loss_epoch=84.00]

Epoch 8:  89%|████████▉ | 24/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=83.30, train_loss_epoch=84.00]

Epoch 8:  89%|████████▉ | 24/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=82.70, train_loss_epoch=84.00]

Epoch 8:  93%|█████████▎| 25/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=82.70, train_loss_epoch=84.00]

Epoch 8:  93%|█████████▎| 25/27 [00:01<00:00, 15.48it/s, v_num=0, train_loss_step=83.40, train_loss_epoch=84.00]

Epoch 8:  96%|█████████▋| 26/27 [00:01<00:00, 15.60it/s, v_num=0, train_loss_step=83.40, train_loss_epoch=84.00]

Epoch 8:  96%|█████████▋| 26/27 [00:01<00:00, 15.59it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=84.00]

Epoch 8: 100%|██████████| 27/27 [00:01<00:00, 15.74it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=84.00]

Epoch 8: 100%|██████████| 27/27 [00:01<00:00, 15.73it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=84.00]

Epoch 8: 100%|██████████| 27/27 [00:01<00:00, 15.71it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=83.40]

Epoch 8:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=83.40]         

Epoch 9:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=83.40]

Epoch 9:   4%|▎         | 1/27 [00:00<00:08,  3.10it/s, v_num=0, train_loss_step=83.60, train_loss_epoch=83.40]

Epoch 9:   4%|▎         | 1/27 [00:00<00:08,  3.07it/s, v_num=0, train_loss_step=83.70, train_loss_epoch=83.40]

Epoch 9:   7%|▋         | 2/27 [00:00<00:04,  5.21it/s, v_num=0, train_loss_step=83.70, train_loss_epoch=83.40]

Epoch 9:   7%|▋         | 2/27 [00:00<00:04,  5.19it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=83.40]

Epoch 9:  11%|█         | 3/27 [00:00<00:03,  6.69it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=83.40]

Epoch 9:  11%|█         | 3/27 [00:00<00:03,  6.68it/s, v_num=0, train_loss_step=83.40, train_loss_epoch=83.40]

Epoch 9:  15%|█▍        | 4/27 [00:00<00:02,  7.99it/s, v_num=0, train_loss_step=83.40, train_loss_epoch=83.40]

Epoch 9:  15%|█▍        | 4/27 [00:00<00:02,  7.97it/s, v_num=0, train_loss_step=83.10, train_loss_epoch=83.40]

Epoch 9:  19%|█▊        | 5/27 [00:00<00:02,  8.97it/s, v_num=0, train_loss_step=83.10, train_loss_epoch=83.40]

Epoch 9:  19%|█▊        | 5/27 [00:00<00:02,  8.95it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=83.40]

Epoch 9:  22%|██▏       | 6/27 [00:00<00:02,  9.62it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=83.40]

Epoch 9:  22%|██▏       | 6/27 [00:00<00:02,  9.61it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=83.40]

Epoch 9:  26%|██▌       | 7/27 [00:00<00:01, 10.28it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=83.40]

Epoch 9:  26%|██▌       | 7/27 [00:00<00:01, 10.26it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=83.40]

Epoch 9:  30%|██▉       | 8/27 [00:00<00:01, 10.81it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=83.40]

Epoch 9:  30%|██▉       | 8/27 [00:00<00:01, 10.80it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=83.40]

Epoch 9:  33%|███▎      | 9/27 [00:00<00:01, 11.37it/s, v_num=0, train_loss_step=83.50, train_loss_epoch=83.40]

Epoch 9:  33%|███▎      | 9/27 [00:00<00:01, 11.35it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=83.40]

Epoch 9:  37%|███▋      | 10/27 [00:00<00:01, 11.89it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=83.40]

Epoch 9:  37%|███▋      | 10/27 [00:00<00:01, 11.88it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9:  41%|████      | 11/27 [00:00<00:01, 12.27it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9:  41%|████      | 11/27 [00:00<00:01, 12.26it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=83.40]

Epoch 9:  44%|████▍     | 12/27 [00:00<00:01, 12.71it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=83.40]

Epoch 9:  44%|████▍     | 12/27 [00:00<00:01, 12.70it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=83.40]

Epoch 9:  48%|████▊     | 13/27 [00:01<00:01, 12.93it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=83.40]

Epoch 9:  48%|████▊     | 13/27 [00:01<00:01, 12.92it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=83.40]

Epoch 9:  52%|█████▏    | 14/27 [00:01<00:00, 13.09it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=83.40]

Epoch 9:  52%|█████▏    | 14/27 [00:01<00:00, 13.08it/s, v_num=0, train_loss_step=83.10, train_loss_epoch=83.40]

Epoch 9:  56%|█████▌    | 15/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=83.10, train_loss_epoch=83.40]

Epoch 9:  56%|█████▌    | 15/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9:  59%|█████▉    | 16/27 [00:01<00:00, 13.51it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9:  59%|█████▉    | 16/27 [00:01<00:00, 13.50it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=83.40]

Epoch 9:  63%|██████▎   | 17/27 [00:01<00:00, 13.78it/s, v_num=0, train_loss_step=83.20, train_loss_epoch=83.40]

Epoch 9:  63%|██████▎   | 17/27 [00:01<00:00, 13.77it/s, v_num=0, train_loss_step=82.70, train_loss_epoch=83.40]

Epoch 9:  67%|██████▋   | 18/27 [00:01<00:00, 14.02it/s, v_num=0, train_loss_step=82.70, train_loss_epoch=83.40]

Epoch 9:  67%|██████▋   | 18/27 [00:01<00:00, 14.01it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9:  70%|███████   | 19/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9:  70%|███████   | 19/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9:  74%|███████▍  | 20/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9:  74%|███████▍  | 20/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=83.40]

Epoch 9:  78%|███████▊  | 21/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=83.40]

Epoch 9:  78%|███████▊  | 21/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=82.30, train_loss_epoch=83.40]

Epoch 9:  81%|████████▏ | 22/27 [00:01<00:00, 14.70it/s, v_num=0, train_loss_step=82.30, train_loss_epoch=83.40]

Epoch 9:  81%|████████▏ | 22/27 [00:01<00:00, 14.69it/s, v_num=0, train_loss_step=82.70, train_loss_epoch=83.40]

Epoch 9:  85%|████████▌ | 23/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=82.70, train_loss_epoch=83.40]

Epoch 9:  85%|████████▌ | 23/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=83.40]

Epoch 9:  89%|████████▉ | 24/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=83.00, train_loss_epoch=83.40]

Epoch 9:  89%|████████▉ | 24/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=83.40]

Epoch 9:  93%|█████████▎| 25/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=83.40]

Epoch 9:  93%|█████████▎| 25/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=83.40]

Epoch 9:  96%|█████████▋| 26/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=83.40]

Epoch 9:  96%|█████████▋| 26/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9: 100%|██████████| 27/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=83.40]

Epoch 9: 100%|██████████| 27/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=83.40]

Epoch 9: 100%|██████████| 27/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]

Epoch 9:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]         

Epoch 10:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]

Epoch 10:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]

Epoch 10:   4%|▎         | 1/27 [00:00<00:09,  2.88it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:   7%|▋         | 2/27 [00:00<00:04,  5.05it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:   7%|▋         | 2/27 [00:00<00:04,  5.03it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]

Epoch 10:  11%|█         | 3/27 [00:00<00:03,  6.64it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]

Epoch 10:  11%|█         | 3/27 [00:00<00:03,  6.62it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=82.90]

Epoch 10:  15%|█▍        | 4/27 [00:00<00:02,  7.91it/s, v_num=0, train_loss_step=82.90, train_loss_epoch=82.90]

Epoch 10:  15%|█▍        | 4/27 [00:00<00:02,  7.90it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  19%|█▊        | 5/27 [00:00<00:02,  8.91it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  19%|█▊        | 5/27 [00:00<00:02,  8.89it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]

Epoch 10:  22%|██▏       | 6/27 [00:00<00:02,  9.59it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]

Epoch 10:  22%|██▏       | 6/27 [00:00<00:02,  9.58it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  26%|██▌       | 7/27 [00:00<00:01, 10.07it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  26%|██▌       | 7/27 [00:00<00:01, 10.06it/s, v_num=0, train_loss_step=82.70, train_loss_epoch=82.90]

Epoch 10:  30%|██▉       | 8/27 [00:00<00:01, 10.52it/s, v_num=0, train_loss_step=82.70, train_loss_epoch=82.90]

Epoch 10:  30%|██▉       | 8/27 [00:00<00:01, 10.50it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  33%|███▎      | 9/27 [00:00<00:01, 11.06it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  33%|███▎      | 9/27 [00:00<00:01, 11.05it/s, v_num=0, train_loss_step=82.30, train_loss_epoch=82.90]

Epoch 10:  37%|███▋      | 10/27 [00:00<00:01, 11.39it/s, v_num=0, train_loss_step=82.30, train_loss_epoch=82.90]

Epoch 10:  37%|███▋      | 10/27 [00:00<00:01, 11.37it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=82.90]

Epoch 10:  41%|████      | 11/27 [00:00<00:01, 11.73it/s, v_num=0, train_loss_step=82.80, train_loss_epoch=82.90]

Epoch 10:  41%|████      | 11/27 [00:00<00:01, 11.72it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.90]

Epoch 10:  44%|████▍     | 12/27 [00:00<00:01, 12.16it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.90]

Epoch 10:  44%|████▍     | 12/27 [00:00<00:01, 12.15it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  48%|████▊     | 13/27 [00:01<00:01, 12.55it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  48%|████▊     | 13/27 [00:01<00:01, 12.54it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.90]

Epoch 10:  52%|█████▏    | 14/27 [00:01<00:01, 12.88it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.90]

Epoch 10:  52%|█████▏    | 14/27 [00:01<00:01, 12.87it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]

Epoch 10:  56%|█████▌    | 15/27 [00:01<00:00, 13.21it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.90]

Epoch 10:  56%|█████▌    | 15/27 [00:01<00:00, 13.20it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  59%|█████▉    | 16/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  59%|█████▉    | 16/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  63%|██████▎   | 17/27 [00:01<00:00, 13.74it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  63%|██████▎   | 17/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  67%|██████▋   | 18/27 [00:01<00:00, 13.93it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  67%|██████▋   | 18/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=82.40, train_loss_epoch=82.90]

Epoch 10:  70%|███████   | 19/27 [00:01<00:00, 14.12it/s, v_num=0, train_loss_step=82.40, train_loss_epoch=82.90]

Epoch 10:  70%|███████   | 19/27 [00:01<00:00, 14.11it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  74%|███████▍  | 20/27 [00:01<00:00, 14.34it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  74%|███████▍  | 20/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.90]

Epoch 10:  78%|███████▊  | 21/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.90]

Epoch 10:  78%|███████▊  | 21/27 [00:01<00:00, 14.49it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.90]

Epoch 10:  81%|████████▏ | 22/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.90]

Epoch 10:  81%|████████▏ | 22/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  85%|████████▌ | 23/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=82.60, train_loss_epoch=82.90]

Epoch 10:  85%|████████▌ | 23/27 [00:01<00:00, 14.82it/s, v_num=0, train_loss_step=82.30, train_loss_epoch=82.90]

Epoch 10:  89%|████████▉ | 24/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=82.30, train_loss_epoch=82.90]

Epoch 10:  89%|████████▉ | 24/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=82.30, train_loss_epoch=82.90]

Epoch 10:  93%|█████████▎| 25/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=82.30, train_loss_epoch=82.90]

Epoch 10:  93%|█████████▎| 25/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.90]

Epoch 10:  96%|█████████▋| 26/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.90]

Epoch 10:  96%|█████████▋| 26/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.90]

Epoch 10: 100%|██████████| 27/27 [00:01<00:00, 15.44it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.90]

Epoch 10: 100%|██████████| 27/27 [00:01<00:00, 15.43it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.90]

Epoch 10: 100%|██████████| 27/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 10:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]         

Epoch 11:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:   4%|▎         | 1/27 [00:00<00:08,  2.91it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:   4%|▎         | 1/27 [00:00<00:08,  2.89it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.40]

Epoch 11:   7%|▋         | 2/27 [00:00<00:05,  4.82it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.40]

Epoch 11:   7%|▋         | 2/27 [00:00<00:05,  4.81it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.40]

Epoch 11:  11%|█         | 3/27 [00:00<00:03,  6.38it/s, v_num=0, train_loss_step=82.50, train_loss_epoch=82.40]

Epoch 11:  11%|█         | 3/27 [00:00<00:03,  6.37it/s, v_num=0, train_loss_step=82.20, train_loss_epoch=82.40]

Epoch 11:  15%|█▍        | 4/27 [00:00<00:03,  7.63it/s, v_num=0, train_loss_step=82.20, train_loss_epoch=82.40]

Epoch 11:  15%|█▍        | 4/27 [00:00<00:03,  7.62it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  19%|█▊        | 5/27 [00:00<00:02,  8.45it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  19%|█▊        | 5/27 [00:00<00:02,  8.44it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  22%|██▏       | 6/27 [00:00<00:02,  9.06it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  22%|██▏       | 6/27 [00:00<00:02,  9.05it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  26%|██▌       | 7/27 [00:00<00:02,  9.74it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  26%|██▌       | 7/27 [00:00<00:02,  9.73it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:  30%|██▉       | 8/27 [00:00<00:01, 10.36it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:  30%|██▉       | 8/27 [00:00<00:01, 10.35it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  33%|███▎      | 9/27 [00:00<00:01, 10.94it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  33%|███▎      | 9/27 [00:00<00:01, 10.93it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  37%|███▋      | 10/27 [00:00<00:01, 11.45it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  37%|███▋      | 10/27 [00:00<00:01, 11.44it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:  41%|████      | 11/27 [00:00<00:01, 11.92it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:  41%|████      | 11/27 [00:00<00:01, 11.91it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  44%|████▍     | 12/27 [00:00<00:01, 12.35it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  44%|████▍     | 12/27 [00:00<00:01, 12.34it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.40]

Epoch 11:  48%|████▊     | 13/27 [00:01<00:01, 12.74it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.40]

Epoch 11:  48%|████▊     | 13/27 [00:01<00:01, 12.73it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:  52%|█████▏    | 14/27 [00:01<00:00, 13.07it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:  52%|█████▏    | 14/27 [00:01<00:00, 13.06it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.40]

Epoch 11:  56%|█████▌    | 15/27 [00:01<00:00, 13.35it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.40]

Epoch 11:  56%|█████▌    | 15/27 [00:01<00:00, 13.34it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.40]

Epoch 11:  59%|█████▉    | 16/27 [00:01<00:00, 13.60it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.40]

Epoch 11:  59%|█████▉    | 16/27 [00:01<00:00, 13.59it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:  63%|██████▎   | 17/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=82.00, train_loss_epoch=82.40]

Epoch 11:  63%|██████▎   | 17/27 [00:01<00:00, 13.85it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  67%|██████▋   | 18/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  67%|██████▋   | 18/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  70%|███████   | 19/27 [00:01<00:00, 14.19it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  70%|███████   | 19/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=81.70, train_loss_epoch=82.40]

Epoch 11:  74%|███████▍  | 20/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=81.70, train_loss_epoch=82.40]

Epoch 11:  74%|███████▍  | 20/27 [00:01<00:00, 14.37it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.40]

Epoch 11:  78%|███████▊  | 21/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=82.10, train_loss_epoch=82.40]

Epoch 11:  78%|███████▊  | 21/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  81%|████████▏ | 22/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  81%|████████▏ | 22/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=81.70, train_loss_epoch=82.40]

Epoch 11:  85%|████████▌ | 23/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=81.70, train_loss_epoch=82.40]

Epoch 11:  85%|████████▌ | 23/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  89%|████████▉ | 24/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=81.90, train_loss_epoch=82.40]

Epoch 11:  89%|████████▉ | 24/27 [00:01<00:00, 15.04it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  93%|█████████▎| 25/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=82.40]

Epoch 11:  93%|█████████▎| 25/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=82.40]

Epoch 11:  96%|█████████▋| 26/27 [00:01<00:00, 15.17it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=82.40]

Epoch 11:  96%|█████████▋| 26/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=82.40]

Epoch 11: 100%|██████████| 27/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=82.40]

Epoch 11: 100%|██████████| 27/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=82.40]

Epoch 11: 100%|██████████| 27/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 11:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]         

Epoch 12:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:   4%|▎         | 1/27 [00:00<00:08,  3.03it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:   4%|▎         | 1/27 [00:00<00:08,  3.01it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:   7%|▋         | 2/27 [00:00<00:04,  5.04it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:   7%|▋         | 2/27 [00:00<00:04,  5.03it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  11%|█         | 3/27 [00:00<00:03,  6.73it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  11%|█         | 3/27 [00:00<00:03,  6.72it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=81.90]

Epoch 12:  15%|█▍        | 4/27 [00:00<00:02,  8.07it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=81.90]

Epoch 12:  15%|█▍        | 4/27 [00:00<00:02,  8.05it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  19%|█▊        | 5/27 [00:00<00:02,  8.85it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  19%|█▊        | 5/27 [00:00<00:02,  8.84it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  22%|██▏       | 6/27 [00:00<00:02,  9.50it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  22%|██▏       | 6/27 [00:00<00:02,  9.48it/s, v_num=0, train_loss_step=81.70, train_loss_epoch=81.90]

Epoch 12:  26%|██▌       | 7/27 [00:00<00:01, 10.12it/s, v_num=0, train_loss_step=81.70, train_loss_epoch=81.90]

Epoch 12:  26%|██▌       | 7/27 [00:00<00:01, 10.11it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=81.90]

Epoch 12:  30%|██▉       | 8/27 [00:00<00:01, 10.78it/s, v_num=0, train_loss_step=81.80, train_loss_epoch=81.90]

Epoch 12:  30%|██▉       | 8/27 [00:00<00:01, 10.76it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  33%|███▎      | 9/27 [00:00<00:01, 11.21it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  33%|███▎      | 9/27 [00:00<00:01, 11.19it/s, v_num=0, train_loss_step=81.40, train_loss_epoch=81.90]

Epoch 12:  37%|███▋      | 10/27 [00:00<00:01, 11.58it/s, v_num=0, train_loss_step=81.40, train_loss_epoch=81.90]

Epoch 12:  37%|███▋      | 10/27 [00:00<00:01, 11.56it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=81.90]

Epoch 12:  41%|████      | 11/27 [00:00<00:01, 12.04it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=81.90]

Epoch 12:  41%|████      | 11/27 [00:00<00:01, 12.03it/s, v_num=0, train_loss_step=81.40, train_loss_epoch=81.90]

Epoch 12:  44%|████▍     | 12/27 [00:00<00:01, 12.43it/s, v_num=0, train_loss_step=81.40, train_loss_epoch=81.90]

Epoch 12:  44%|████▍     | 12/27 [00:00<00:01, 12.42it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=81.90]

Epoch 12:  48%|████▊     | 13/27 [00:01<00:01, 12.82it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=81.90]

Epoch 12:  48%|████▊     | 13/27 [00:01<00:01, 12.81it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  52%|█████▏    | 14/27 [00:01<00:00, 13.16it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  52%|█████▏    | 14/27 [00:01<00:00, 13.15it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  56%|█████▌    | 15/27 [00:01<00:00, 13.43it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  56%|█████▌    | 15/27 [00:01<00:00, 13.42it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  59%|█████▉    | 16/27 [00:01<00:00, 13.68it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  59%|█████▉    | 16/27 [00:01<00:00, 13.67it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  63%|██████▎   | 17/27 [00:01<00:00, 13.93it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  63%|██████▎   | 17/27 [00:01<00:00, 13.91it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  67%|██████▋   | 18/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  67%|██████▋   | 18/27 [00:01<00:00, 14.14it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  70%|███████   | 19/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=81.60, train_loss_epoch=81.90]

Epoch 12:  70%|███████   | 19/27 [00:01<00:00, 14.32it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.90]

Epoch 12:  74%|███████▍  | 20/27 [00:01<00:00, 14.53it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.90]

Epoch 12:  74%|███████▍  | 20/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.90]

Epoch 12:  78%|███████▊  | 21/27 [00:01<00:00, 14.70it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.90]

Epoch 12:  78%|███████▊  | 21/27 [00:01<00:00, 14.69it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.90]

Epoch 12:  81%|████████▏ | 22/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.90]

Epoch 12:  81%|████████▏ | 22/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.90]

Epoch 12:  85%|████████▌ | 23/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.90]

Epoch 12:  85%|████████▌ | 23/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.90]

Epoch 12:  89%|████████▉ | 24/27 [00:01<00:00, 15.04it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.90]

Epoch 12:  89%|████████▉ | 24/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.90]

Epoch 12:  93%|█████████▎| 25/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.90]

Epoch 12:  93%|█████████▎| 25/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  96%|█████████▋| 26/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12:  96%|█████████▋| 26/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.90]

Epoch 12: 100%|██████████| 27/27 [00:01<00:00, 15.44it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.90]

Epoch 12: 100%|██████████| 27/27 [00:01<00:00, 15.43it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.90]

Epoch 12: 100%|██████████| 27/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.40]

Epoch 12:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.40]         

Epoch 13:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.40]

Epoch 13:   4%|▎         | 1/27 [00:00<00:08,  3.05it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.40]

Epoch 13:   4%|▎         | 1/27 [00:00<00:08,  3.03it/s, v_num=0, train_loss_step=81.40, train_loss_epoch=81.40]

Epoch 13:   7%|▋         | 2/27 [00:00<00:04,  5.21it/s, v_num=0, train_loss_step=81.40, train_loss_epoch=81.40]

Epoch 13:   7%|▋         | 2/27 [00:00<00:04,  5.20it/s, v_num=0, train_loss_step=80.90, train_loss_epoch=81.40]

Epoch 13:  11%|█         | 3/27 [00:00<00:03,  6.65it/s, v_num=0, train_loss_step=80.90, train_loss_epoch=81.40]

Epoch 13:  11%|█         | 3/27 [00:00<00:03,  6.63it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  15%|█▍        | 4/27 [00:00<00:02,  7.92it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  15%|█▍        | 4/27 [00:00<00:02,  7.91it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.40]

Epoch 13:  19%|█▊        | 5/27 [00:00<00:02,  8.94it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.40]

Epoch 13:  19%|█▊        | 5/27 [00:00<00:02,  8.92it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.40]

Epoch 13:  22%|██▏       | 6/27 [00:00<00:02,  9.67it/s, v_num=0, train_loss_step=81.50, train_loss_epoch=81.40]

Epoch 13:  22%|██▏       | 6/27 [00:00<00:02,  9.66it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  26%|██▌       | 7/27 [00:00<00:01, 10.46it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  26%|██▌       | 7/27 [00:00<00:01, 10.44it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  30%|██▉       | 8/27 [00:00<00:01, 10.99it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  30%|██▉       | 8/27 [00:00<00:01, 10.98it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=81.40]

Epoch 13:  33%|███▎      | 9/27 [00:00<00:01, 11.55it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=81.40]

Epoch 13:  33%|███▎      | 9/27 [00:00<00:01, 11.53it/s, v_num=0, train_loss_step=80.70, train_loss_epoch=81.40]

Epoch 13:  37%|███▋      | 10/27 [00:00<00:01, 11.98it/s, v_num=0, train_loss_step=80.70, train_loss_epoch=81.40]

Epoch 13:  37%|███▋      | 10/27 [00:00<00:01, 11.96it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.40]

Epoch 13:  41%|████      | 11/27 [00:00<00:01, 12.15it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.40]

Epoch 13:  41%|████      | 11/27 [00:00<00:01, 12.13it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  44%|████▍     | 12/27 [00:00<00:01, 12.61it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  44%|████▍     | 12/27 [00:00<00:01, 12.59it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=81.40]

Epoch 13:  48%|████▊     | 13/27 [00:01<00:01, 12.96it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=81.40]

Epoch 13:  48%|████▊     | 13/27 [00:01<00:01, 12.95it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.40]

Epoch 13:  52%|█████▏    | 14/27 [00:01<00:00, 13.31it/s, v_num=0, train_loss_step=81.10, train_loss_epoch=81.40]

Epoch 13:  52%|█████▏    | 14/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=81.40]

Epoch 13:  56%|█████▌    | 15/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=81.40]

Epoch 13:  56%|█████▌    | 15/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=81.40]

Epoch 13:  59%|█████▉    | 16/27 [00:01<00:00, 13.82it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=81.40]

Epoch 13:  59%|█████▉    | 16/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=81.40]

Epoch 13:  63%|██████▎   | 17/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=81.40]

Epoch 13:  63%|██████▎   | 17/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=81.40]

Epoch 13:  67%|██████▋   | 18/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=81.40]

Epoch 13:  67%|██████▋   | 18/27 [00:01<00:00, 14.25it/s, v_num=0, train_loss_step=80.70, train_loss_epoch=81.40]

Epoch 13:  70%|███████   | 19/27 [00:01<00:00, 14.49it/s, v_num=0, train_loss_step=80.70, train_loss_epoch=81.40]

Epoch 13:  70%|███████   | 19/27 [00:01<00:00, 14.48it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.40]

Epoch 13:  74%|███████▍  | 20/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=81.30, train_loss_epoch=81.40]

Epoch 13:  74%|███████▍  | 20/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=81.40]

Epoch 13:  78%|███████▊  | 21/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=81.40]

Epoch 13:  78%|███████▊  | 21/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  81%|████████▏ | 22/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=81.20, train_loss_epoch=81.40]

Epoch 13:  81%|████████▏ | 22/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=81.40]

Epoch 13:  85%|████████▌ | 23/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=81.40]

Epoch 13:  85%|████████▌ | 23/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=81.40]

Epoch 13:  89%|████████▉ | 24/27 [00:01<00:00, 15.24it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=81.40]

Epoch 13:  89%|████████▉ | 24/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=81.40]

Epoch 13:  93%|█████████▎| 25/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=81.40]

Epoch 13:  93%|█████████▎| 25/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=80.90, train_loss_epoch=81.40]

Epoch 13:  96%|█████████▋| 26/27 [00:01<00:00, 15.48it/s, v_num=0, train_loss_step=80.90, train_loss_epoch=81.40]

Epoch 13:  96%|█████████▋| 26/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=81.40]

Epoch 13: 100%|██████████| 27/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=81.40]

Epoch 13: 100%|██████████| 27/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=81.40]

Epoch 13: 100%|██████████| 27/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 13:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]         

Epoch 14:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:   4%|▎         | 1/27 [00:00<00:08,  3.00it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:   4%|▎         | 1/27 [00:00<00:08,  2.98it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=80.90]

Epoch 14:   7%|▋         | 2/27 [00:00<00:05,  4.96it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=80.90]

Epoch 14:   7%|▋         | 2/27 [00:00<00:05,  4.95it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=80.90]

Epoch 14:  11%|█         | 3/27 [00:00<00:03,  6.42it/s, v_num=0, train_loss_step=81.00, train_loss_epoch=80.90]

Epoch 14:  11%|█         | 3/27 [00:00<00:03,  6.41it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=80.90]

Epoch 14:  15%|█▍        | 4/27 [00:00<00:03,  7.61it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=80.90]

Epoch 14:  15%|█▍        | 4/27 [00:00<00:03,  7.59it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:  19%|█▊        | 5/27 [00:00<00:02,  8.64it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:  19%|█▊        | 5/27 [00:00<00:02,  8.63it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:  22%|██▏       | 6/27 [00:00<00:02,  9.39it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:  22%|██▏       | 6/27 [00:00<00:02,  9.37it/s, v_num=0, train_loss_step=80.70, train_loss_epoch=80.90]

Epoch 14:  26%|██▌       | 7/27 [00:00<00:01, 10.06it/s, v_num=0, train_loss_step=80.70, train_loss_epoch=80.90]

Epoch 14:  26%|██▌       | 7/27 [00:00<00:01, 10.05it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=80.90]

Epoch 14:  30%|██▉       | 8/27 [00:00<00:01, 10.69it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=80.90]

Epoch 14:  30%|██▉       | 8/27 [00:00<00:01, 10.68it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=80.90]

Epoch 14:  33%|███▎      | 9/27 [00:00<00:01, 11.14it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=80.90]

Epoch 14:  33%|███▎      | 9/27 [00:00<00:01, 11.13it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=80.90]

Epoch 14:  37%|███▋      | 10/27 [00:00<00:01, 11.50it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=80.90]

Epoch 14:  37%|███▋      | 10/27 [00:00<00:01, 11.49it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:  41%|████      | 11/27 [00:00<00:01, 11.91it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:  41%|████      | 11/27 [00:00<00:01, 11.90it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=80.90]

Epoch 14:  44%|████▍     | 12/27 [00:00<00:01, 12.33it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=80.90]

Epoch 14:  44%|████▍     | 12/27 [00:00<00:01, 12.32it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=80.90]

Epoch 14:  48%|████▊     | 13/27 [00:01<00:01, 12.70it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=80.90]

Epoch 14:  48%|████▊     | 13/27 [00:01<00:01, 12.69it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.90]

Epoch 14:  52%|█████▏    | 14/27 [00:01<00:00, 13.14it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.90]

Epoch 14:  52%|█████▏    | 14/27 [00:01<00:00, 13.13it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=80.90]

Epoch 14:  56%|█████▌    | 15/27 [00:01<00:00, 13.52it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=80.90]

Epoch 14:  56%|█████▌    | 15/27 [00:01<00:00, 13.51it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=80.90]

Epoch 14:  59%|█████▉    | 16/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=80.60, train_loss_epoch=80.90]

Epoch 14:  59%|█████▉    | 16/27 [00:01<00:00, 13.79it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=80.90]

Epoch 14:  63%|██████▎   | 17/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=80.50, train_loss_epoch=80.90]

Epoch 14:  63%|██████▎   | 17/27 [00:01<00:00, 13.90it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:  67%|██████▋   | 18/27 [00:01<00:00, 14.12it/s, v_num=0, train_loss_step=80.80, train_loss_epoch=80.90]

Epoch 14:  67%|██████▋   | 18/27 [00:01<00:00, 14.11it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.90]

Epoch 14:  70%|███████   | 19/27 [00:01<00:00, 14.32it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.90]

Epoch 14:  70%|███████   | 19/27 [00:01<00:00, 14.31it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.90]

Epoch 14:  74%|███████▍  | 20/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.90]

Epoch 14:  74%|███████▍  | 20/27 [00:01<00:00, 14.53it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.90]

Epoch 14:  78%|███████▊  | 21/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.90]

Epoch 14:  78%|███████▊  | 21/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.90]

Epoch 14:  81%|████████▏ | 22/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.90]

Epoch 14:  81%|████████▏ | 22/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.90]

Epoch 14:  85%|████████▌ | 23/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.90]

Epoch 14:  85%|████████▌ | 23/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.90]

Epoch 14:  89%|████████▉ | 24/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.90]

Epoch 14:  89%|████████▉ | 24/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=79.80, train_loss_epoch=80.90]

Epoch 14:  93%|█████████▎| 25/27 [00:01<00:00, 15.44it/s, v_num=0, train_loss_step=79.80, train_loss_epoch=80.90]

Epoch 14:  93%|█████████▎| 25/27 [00:01<00:00, 15.44it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.90]

Epoch 14:  96%|█████████▋| 26/27 [00:01<00:00, 15.56it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.90]

Epoch 14:  96%|█████████▋| 26/27 [00:01<00:00, 15.55it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=80.90]

Epoch 14: 100%|██████████| 27/27 [00:01<00:00, 15.80it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=80.90]

Epoch 14: 100%|██████████| 27/27 [00:01<00:00, 15.78it/s, v_num=0, train_loss_step=80.20, train_loss_epoch=80.90]

Epoch 14: 100%|██████████| 27/27 [00:01<00:00, 15.76it/s, v_num=0, train_loss_step=80.20, train_loss_epoch=80.50]

Epoch 14:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=80.20, train_loss_epoch=80.50]         

Epoch 15:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=80.20, train_loss_epoch=80.50]

Epoch 15:   4%|▎         | 1/27 [00:00<00:08,  2.97it/s, v_num=0, train_loss_step=80.20, train_loss_epoch=80.50]

Epoch 15:   4%|▎         | 1/27 [00:00<00:08,  2.95it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.50]

Epoch 15:   7%|▋         | 2/27 [00:00<00:04,  5.11it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.50]

Epoch 15:   7%|▋         | 2/27 [00:00<00:04,  5.10it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.50]

Epoch 15:  11%|█         | 3/27 [00:00<00:03,  6.75it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.50]

Epoch 15:  11%|█         | 3/27 [00:00<00:03,  6.74it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.50]

Epoch 15:  15%|█▍        | 4/27 [00:00<00:02,  7.75it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.50]

Epoch 15:  15%|█▍        | 4/27 [00:00<00:02,  7.72it/s, v_num=0, train_loss_step=80.20, train_loss_epoch=80.50]

Epoch 15:  19%|█▊        | 5/27 [00:00<00:02,  8.85it/s, v_num=0, train_loss_step=80.20, train_loss_epoch=80.50]

Epoch 15:  19%|█▊        | 5/27 [00:00<00:02,  8.83it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.50]

Epoch 15:  22%|██▏       | 6/27 [00:00<00:02,  9.73it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.50]

Epoch 15:  22%|██▏       | 6/27 [00:00<00:02,  9.72it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=80.50]

Epoch 15:  26%|██▌       | 7/27 [00:00<00:01, 10.43it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=80.50]

Epoch 15:  26%|██▌       | 7/27 [00:00<00:01, 10.42it/s, v_num=0, train_loss_step=79.70, train_loss_epoch=80.50]

Epoch 15:  30%|██▉       | 8/27 [00:00<00:01, 10.98it/s, v_num=0, train_loss_step=79.70, train_loss_epoch=80.50]

Epoch 15:  30%|██▉       | 8/27 [00:00<00:01, 10.97it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.50]

Epoch 15:  33%|███▎      | 9/27 [00:00<00:01, 11.51it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.50]

Epoch 15:  33%|███▎      | 9/27 [00:00<00:01, 11.50it/s, v_num=0, train_loss_step=79.80, train_loss_epoch=80.50]

Epoch 15:  37%|███▋      | 10/27 [00:00<00:01, 12.04it/s, v_num=0, train_loss_step=79.80, train_loss_epoch=80.50]

Epoch 15:  37%|███▋      | 10/27 [00:00<00:01, 12.03it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.50]

Epoch 15:  41%|████      | 11/27 [00:00<00:01, 12.49it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.50]

Epoch 15:  41%|████      | 11/27 [00:00<00:01, 12.47it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  44%|████▍     | 12/27 [00:00<00:01, 12.87it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  44%|████▍     | 12/27 [00:00<00:01, 12.86it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.50]

Epoch 15:  48%|████▊     | 13/27 [00:00<00:01, 13.28it/s, v_num=0, train_loss_step=80.30, train_loss_epoch=80.50]

Epoch 15:  48%|████▊     | 13/27 [00:00<00:01, 13.27it/s, v_num=0, train_loss_step=80.20, train_loss_epoch=80.50]

Epoch 15:  52%|█████▏    | 14/27 [00:01<00:00, 13.64it/s, v_num=0, train_loss_step=80.20, train_loss_epoch=80.50]

Epoch 15:  52%|█████▏    | 14/27 [00:01<00:00, 13.63it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.50]

Epoch 15:  56%|█████▌    | 15/27 [00:01<00:00, 13.97it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.50]

Epoch 15:  56%|█████▌    | 15/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  59%|█████▉    | 16/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  59%|█████▉    | 16/27 [00:01<00:00, 14.25it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=80.50]

Epoch 15:  63%|██████▎   | 17/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=80.40, train_loss_epoch=80.50]

Epoch 15:  63%|██████▎   | 17/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  67%|██████▋   | 18/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  67%|██████▋   | 18/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  70%|███████   | 19/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  70%|███████   | 19/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=79.80, train_loss_epoch=80.50]

Epoch 15:  74%|███████▍  | 20/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=79.80, train_loss_epoch=80.50]

Epoch 15:  74%|███████▍  | 20/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  78%|███████▊  | 21/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15:  78%|███████▊  | 21/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=79.70, train_loss_epoch=80.50]

Epoch 15:  81%|████████▏ | 22/27 [00:01<00:00, 15.59it/s, v_num=0, train_loss_step=79.70, train_loss_epoch=80.50]

Epoch 15:  81%|████████▏ | 22/27 [00:01<00:00, 15.58it/s, v_num=0, train_loss_step=79.60, train_loss_epoch=80.50]

Epoch 15:  85%|████████▌ | 23/27 [00:01<00:00, 15.76it/s, v_num=0, train_loss_step=79.60, train_loss_epoch=80.50]

Epoch 15:  85%|████████▌ | 23/27 [00:01<00:00, 15.75it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.50]

Epoch 15:  89%|████████▉ | 24/27 [00:01<00:00, 15.89it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.50]

Epoch 15:  89%|████████▉ | 24/27 [00:01<00:00, 15.88it/s, v_num=0, train_loss_step=79.60, train_loss_epoch=80.50]

Epoch 15:  93%|█████████▎| 25/27 [00:01<00:00, 15.93it/s, v_num=0, train_loss_step=79.60, train_loss_epoch=80.50]

Epoch 15:  93%|█████████▎| 25/27 [00:01<00:00, 15.91it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.50]

Epoch 15:  96%|█████████▋| 26/27 [00:01<00:00, 16.09it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.50]

Epoch 15:  96%|█████████▋| 26/27 [00:01<00:00, 16.07it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15: 100%|██████████| 27/27 [00:01<00:00, 16.28it/s, v_num=0, train_loss_step=80.00, train_loss_epoch=80.50]

Epoch 15: 100%|██████████| 27/27 [00:01<00:00, 16.27it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=80.50]

Epoch 15: 100%|██████████| 27/27 [00:01<00:00, 16.25it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=80.00]

Epoch 15:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=80.00]         

Epoch 16:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=80.00]

Epoch 16:   4%|▎         | 1/27 [00:00<00:09,  2.81it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=80.00]

Epoch 16:   4%|▎         | 1/27 [00:00<00:09,  2.79it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.00]

Epoch 16:   7%|▋         | 2/27 [00:00<00:05,  4.88it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.00]

Epoch 16:   7%|▋         | 2/27 [00:00<00:05,  4.87it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  11%|█         | 3/27 [00:00<00:03,  6.47it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  11%|█         | 3/27 [00:00<00:03,  6.46it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.00]

Epoch 16:  15%|█▍        | 4/27 [00:00<00:02,  7.77it/s, v_num=0, train_loss_step=79.90, train_loss_epoch=80.00]

Epoch 16:  15%|█▍        | 4/27 [00:00<00:02,  7.75it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  19%|█▊        | 5/27 [00:00<00:02,  8.67it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  19%|█▊        | 5/27 [00:00<00:02,  8.66it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.00]

Epoch 16:  22%|██▏       | 6/27 [00:00<00:02,  9.42it/s, v_num=0, train_loss_step=80.10, train_loss_epoch=80.00]

Epoch 16:  22%|██▏       | 6/27 [00:00<00:02,  9.40it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  26%|██▌       | 7/27 [00:00<00:01, 10.13it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  26%|██▌       | 7/27 [00:00<00:01, 10.11it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  30%|██▉       | 8/27 [00:00<00:01, 10.70it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  30%|██▉       | 8/27 [00:00<00:01, 10.69it/s, v_num=0, train_loss_step=79.60, train_loss_epoch=80.00]

Epoch 16:  33%|███▎      | 9/27 [00:00<00:01, 11.26it/s, v_num=0, train_loss_step=79.60, train_loss_epoch=80.00]

Epoch 16:  33%|███▎      | 9/27 [00:00<00:01, 11.25it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  37%|███▋      | 10/27 [00:00<00:01, 11.79it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  37%|███▋      | 10/27 [00:00<00:01, 11.78it/s, v_num=0, train_loss_step=79.80, train_loss_epoch=80.00]

Epoch 16:  41%|████      | 11/27 [00:00<00:01, 12.17it/s, v_num=0, train_loss_step=79.80, train_loss_epoch=80.00]

Epoch 16:  41%|████      | 11/27 [00:00<00:01, 12.15it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  44%|████▍     | 12/27 [00:00<00:01, 12.66it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  44%|████▍     | 12/27 [00:00<00:01, 12.63it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  48%|████▊     | 13/27 [00:00<00:01, 13.07it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  48%|████▊     | 13/27 [00:00<00:01, 13.06it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  52%|█████▏    | 14/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  52%|█████▏    | 14/27 [00:01<00:00, 13.28it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  56%|█████▌    | 15/27 [00:01<00:00, 13.53it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  56%|█████▌    | 15/27 [00:01<00:00, 13.52it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  59%|█████▉    | 16/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  59%|█████▉    | 16/27 [00:01<00:00, 13.79it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  63%|██████▎   | 17/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  63%|██████▎   | 17/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  67%|██████▋   | 18/27 [00:01<00:00, 14.24it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  67%|██████▋   | 18/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=79.20, train_loss_epoch=80.00]

Epoch 16:  70%|███████   | 19/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=79.20, train_loss_epoch=80.00]

Epoch 16:  70%|███████   | 19/27 [00:01<00:00, 14.43it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  74%|███████▍  | 20/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  74%|███████▍  | 20/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  78%|███████▊  | 21/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  78%|███████▊  | 21/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  81%|████████▏ | 22/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16:  81%|████████▏ | 22/27 [00:01<00:00, 15.04it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  85%|████████▌ | 23/27 [00:01<00:00, 15.18it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  85%|████████▌ | 23/27 [00:01<00:00, 15.17it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  89%|████████▉ | 24/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=79.40, train_loss_epoch=80.00]

Epoch 16:  89%|████████▉ | 24/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=79.20, train_loss_epoch=80.00]

Epoch 16:  93%|█████████▎| 25/27 [00:01<00:00, 15.52it/s, v_num=0, train_loss_step=79.20, train_loss_epoch=80.00]

Epoch 16:  93%|█████████▎| 25/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  96%|█████████▋| 26/27 [00:01<00:00, 15.62it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16:  96%|█████████▋| 26/27 [00:01<00:00, 15.61it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16: 100%|██████████| 27/27 [00:01<00:00, 15.86it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=80.00]

Epoch 16: 100%|██████████| 27/27 [00:01<00:00, 15.86it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=80.00]

Epoch 16: 100%|██████████| 27/27 [00:01<00:00, 15.84it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=79.50]

Epoch 16:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=79.50]         

Epoch 17:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=79.50]

Epoch 17:   4%|▎         | 1/27 [00:00<00:09,  2.70it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=79.50]

Epoch 17:   4%|▎         | 1/27 [00:00<00:09,  2.68it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=79.50]

Epoch 17:   7%|▋         | 2/27 [00:00<00:05,  4.79it/s, v_num=0, train_loss_step=79.30, train_loss_epoch=79.50]

Epoch 17:   7%|▋         | 2/27 [00:00<00:05,  4.78it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=79.50]

Epoch 17:  11%|█         | 3/27 [00:00<00:03,  6.41it/s, v_num=0, train_loss_step=79.50, train_loss_epoch=79.50]

Epoch 17:  11%|█         | 3/27 [00:00<00:03,  6.40it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  15%|█▍        | 4/27 [00:00<00:02,  7.77it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  15%|█▍        | 4/27 [00:00<00:02,  7.76it/s, v_num=0, train_loss_step=79.60, train_loss_epoch=79.50]

Epoch 17:  19%|█▊        | 5/27 [00:00<00:02,  8.66it/s, v_num=0, train_loss_step=79.60, train_loss_epoch=79.50]

Epoch 17:  19%|█▊        | 5/27 [00:00<00:02,  8.64it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  22%|██▏       | 6/27 [00:00<00:02,  9.66it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  22%|██▏       | 6/27 [00:00<00:02,  9.64it/s, v_num=0, train_loss_step=79.20, train_loss_epoch=79.50]

Epoch 17:  26%|██▌       | 7/27 [00:00<00:01, 10.18it/s, v_num=0, train_loss_step=79.20, train_loss_epoch=79.50]

Epoch 17:  26%|██▌       | 7/27 [00:00<00:01, 10.17it/s, v_num=0, train_loss_step=79.00, train_loss_epoch=79.50]

Epoch 17:  30%|██▉       | 8/27 [00:00<00:01, 11.01it/s, v_num=0, train_loss_step=79.00, train_loss_epoch=79.50]

Epoch 17:  30%|██▉       | 8/27 [00:00<00:01, 10.99it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  33%|███▎      | 9/27 [00:00<00:01, 11.65it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  33%|███▎      | 9/27 [00:00<00:01, 11.63it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  37%|███▋      | 10/27 [00:00<00:01, 12.32it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  37%|███▋      | 10/27 [00:00<00:01, 12.31it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.50]

Epoch 17:  41%|████      | 11/27 [00:00<00:01, 12.71it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.50]

Epoch 17:  41%|████      | 11/27 [00:00<00:01, 12.69it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  44%|████▍     | 12/27 [00:00<00:01, 13.13it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  44%|████▍     | 12/27 [00:00<00:01, 13.12it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  48%|████▊     | 13/27 [00:00<00:01, 13.44it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  48%|████▊     | 13/27 [00:00<00:01, 13.43it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.50]

Epoch 17:  52%|█████▏    | 14/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.50]

Epoch 17:  52%|█████▏    | 14/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  56%|█████▌    | 15/27 [00:01<00:00, 14.08it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  56%|█████▌    | 15/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=79.20, train_loss_epoch=79.50]

Epoch 17:  59%|█████▉    | 16/27 [00:01<00:00, 14.34it/s, v_num=0, train_loss_step=79.20, train_loss_epoch=79.50]

Epoch 17:  59%|█████▉    | 16/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  63%|██████▎   | 17/27 [00:01<00:00, 14.53it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  63%|██████▎   | 17/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.50]

Epoch 17:  67%|██████▋   | 18/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.50]

Epoch 17:  67%|██████▋   | 18/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=78.50, train_loss_epoch=79.50]

Epoch 17:  70%|███████   | 19/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=78.50, train_loss_epoch=79.50]

Epoch 17:  70%|███████   | 19/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  74%|███████▍  | 20/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  74%|███████▍  | 20/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.50]

Epoch 17:  78%|███████▊  | 21/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.50]

Epoch 17:  78%|███████▊  | 21/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  81%|████████▏ | 22/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=79.10, train_loss_epoch=79.50]

Epoch 17:  81%|████████▏ | 22/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=79.00, train_loss_epoch=79.50]

Epoch 17:  85%|████████▌ | 23/27 [00:01<00:00, 15.41it/s, v_num=0, train_loss_step=79.00, train_loss_epoch=79.50]

Epoch 17:  85%|████████▌ | 23/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  89%|████████▉ | 24/27 [00:01<00:00, 15.56it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  89%|████████▉ | 24/27 [00:01<00:00, 15.55it/s, v_num=0, train_loss_step=79.00, train_loss_epoch=79.50]

Epoch 17:  93%|█████████▎| 25/27 [00:01<00:00, 15.67it/s, v_num=0, train_loss_step=79.00, train_loss_epoch=79.50]

Epoch 17:  93%|█████████▎| 25/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  96%|█████████▋| 26/27 [00:01<00:00, 15.82it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.50]

Epoch 17:  96%|█████████▋| 26/27 [00:01<00:00, 15.81it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.50]

Epoch 17: 100%|██████████| 27/27 [00:01<00:00, 16.01it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.50]

Epoch 17: 100%|██████████| 27/27 [00:01<00:00, 16.00it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.50]

Epoch 17: 100%|██████████| 27/27 [00:01<00:00, 15.99it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 17:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]         

Epoch 18:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:   4%|▎         | 1/27 [00:00<00:09,  2.86it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:   4%|▎         | 1/27 [00:00<00:09,  2.84it/s, v_num=0, train_loss_step=78.70, train_loss_epoch=79.00]

Epoch 18:   7%|▋         | 2/27 [00:00<00:05,  4.73it/s, v_num=0, train_loss_step=78.70, train_loss_epoch=79.00]

Epoch 18:   7%|▋         | 2/27 [00:00<00:05,  4.72it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.00]

Epoch 18:  11%|█         | 3/27 [00:00<00:03,  6.31it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.00]

Epoch 18:  11%|█         | 3/27 [00:00<00:03,  6.30it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  15%|█▍        | 4/27 [00:00<00:03,  7.53it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  15%|█▍        | 4/27 [00:00<00:03,  7.52it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  19%|█▊        | 5/27 [00:00<00:02,  8.60it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  19%|█▊        | 5/27 [00:00<00:02,  8.59it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.00]

Epoch 18:  22%|██▏       | 6/27 [00:00<00:02,  9.32it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.00]

Epoch 18:  22%|██▏       | 6/27 [00:00<00:02,  9.30it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  26%|██▌       | 7/27 [00:00<00:02,  9.94it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  26%|██▌       | 7/27 [00:00<00:02,  9.92it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.00]

Epoch 18:  30%|██▉       | 8/27 [00:00<00:01, 10.50it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.00]

Epoch 18:  30%|██▉       | 8/27 [00:00<00:01, 10.49it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.00]

Epoch 18:  33%|███▎      | 9/27 [00:00<00:01, 11.05it/s, v_num=0, train_loss_step=78.90, train_loss_epoch=79.00]

Epoch 18:  33%|███▎      | 9/27 [00:00<00:01, 11.04it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.00]

Epoch 18:  37%|███▋      | 10/27 [00:00<00:01, 11.55it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.00]

Epoch 18:  37%|███▋      | 10/27 [00:00<00:01, 11.54it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.00]

Epoch 18:  41%|████      | 11/27 [00:00<00:01, 11.85it/s, v_num=0, train_loss_step=78.80, train_loss_epoch=79.00]

Epoch 18:  41%|████      | 11/27 [00:00<00:01, 11.83it/s, v_num=0, train_loss_step=78.00, train_loss_epoch=79.00]

Epoch 18:  44%|████▍     | 12/27 [00:00<00:01, 12.30it/s, v_num=0, train_loss_step=78.00, train_loss_epoch=79.00]

Epoch 18:  44%|████▍     | 12/27 [00:00<00:01, 12.28it/s, v_num=0, train_loss_step=77.90, train_loss_epoch=79.00]

Epoch 18:  48%|████▊     | 13/27 [00:01<00:01, 12.52it/s, v_num=0, train_loss_step=77.90, train_loss_epoch=79.00]

Epoch 18:  48%|████▊     | 13/27 [00:01<00:01, 12.50it/s, v_num=0, train_loss_step=78.70, train_loss_epoch=79.00]

Epoch 18:  52%|█████▏    | 14/27 [00:01<00:01, 12.90it/s, v_num=0, train_loss_step=78.70, train_loss_epoch=79.00]

Epoch 18:  52%|█████▏    | 14/27 [00:01<00:01, 12.89it/s, v_num=0, train_loss_step=78.30, train_loss_epoch=79.00]

Epoch 18:  56%|█████▌    | 15/27 [00:01<00:00, 13.22it/s, v_num=0, train_loss_step=78.30, train_loss_epoch=79.00]

Epoch 18:  56%|█████▌    | 15/27 [00:01<00:00, 13.21it/s, v_num=0, train_loss_step=78.30, train_loss_epoch=79.00]

Epoch 18:  59%|█████▉    | 16/27 [00:01<00:00, 13.51it/s, v_num=0, train_loss_step=78.30, train_loss_epoch=79.00]

Epoch 18:  59%|█████▉    | 16/27 [00:01<00:00, 13.49it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  63%|██████▎   | 17/27 [00:01<00:00, 13.78it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  63%|██████▎   | 17/27 [00:01<00:00, 13.77it/s, v_num=0, train_loss_step=78.50, train_loss_epoch=79.00]

Epoch 18:  67%|██████▋   | 18/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=78.50, train_loss_epoch=79.00]

Epoch 18:  67%|██████▋   | 18/27 [00:01<00:00, 13.98it/s, v_num=0, train_loss_step=78.50, train_loss_epoch=79.00]

Epoch 18:  70%|███████   | 19/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=78.50, train_loss_epoch=79.00]

Epoch 18:  70%|███████   | 19/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=79.00]

Epoch 18:  74%|███████▍  | 20/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=79.00]

Epoch 18:  74%|███████▍  | 20/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=78.30, train_loss_epoch=79.00]

Epoch 18:  78%|███████▊  | 21/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=78.30, train_loss_epoch=79.00]

Epoch 18:  78%|███████▊  | 21/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=78.40, train_loss_epoch=79.00]

Epoch 18:  81%|████████▏ | 22/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=78.40, train_loss_epoch=79.00]

Epoch 18:  81%|████████▏ | 22/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=78.70, train_loss_epoch=79.00]

Epoch 18:  85%|████████▌ | 23/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=78.70, train_loss_epoch=79.00]

Epoch 18:  85%|████████▌ | 23/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=78.40, train_loss_epoch=79.00]

Epoch 18:  89%|████████▉ | 24/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=78.40, train_loss_epoch=79.00]

Epoch 18:  89%|████████▉ | 24/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=79.00]

Epoch 18:  93%|█████████▎| 25/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=79.00]

Epoch 18:  93%|█████████▎| 25/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  96%|█████████▋| 26/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=79.00]

Epoch 18:  96%|█████████▋| 26/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=78.30, train_loss_epoch=79.00]

Epoch 18: 100%|██████████| 27/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=78.30, train_loss_epoch=79.00]

Epoch 18: 100%|██████████| 27/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=79.00]

Epoch 18: 100%|██████████| 27/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 18:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]         

Epoch 19:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:   4%|▎         | 1/27 [00:00<00:09,  2.88it/s, v_num=0, train_loss_step=78.70, train_loss_epoch=78.50]

Epoch 19:   7%|▋         | 2/27 [00:00<00:04,  5.05it/s, v_num=0, train_loss_step=78.70, train_loss_epoch=78.50]

Epoch 19:   7%|▋         | 2/27 [00:00<00:04,  5.04it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  11%|█         | 3/27 [00:00<00:03,  6.54it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  11%|█         | 3/27 [00:00<00:03,  6.53it/s, v_num=0, train_loss_step=78.00, train_loss_epoch=78.50]

Epoch 19:  15%|█▍        | 4/27 [00:00<00:02,  7.81it/s, v_num=0, train_loss_step=78.00, train_loss_epoch=78.50]

Epoch 19:  15%|█▍        | 4/27 [00:00<00:02,  7.79it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  19%|█▊        | 5/27 [00:00<00:02,  8.85it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  19%|█▊        | 5/27 [00:00<00:02,  8.84it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  22%|██▏       | 6/27 [00:00<00:02,  9.72it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  22%|██▏       | 6/27 [00:00<00:02,  9.71it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  26%|██▌       | 7/27 [00:00<00:01, 10.23it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  26%|██▌       | 7/27 [00:00<00:01, 10.22it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  30%|██▉       | 8/27 [00:00<00:01, 10.80it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  30%|██▉       | 8/27 [00:00<00:01, 10.79it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  33%|███▎      | 9/27 [00:00<00:01, 11.30it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  33%|███▎      | 9/27 [00:00<00:01, 11.28it/s, v_num=0, train_loss_step=78.40, train_loss_epoch=78.50]

Epoch 19:  37%|███▋      | 10/27 [00:00<00:01, 11.76it/s, v_num=0, train_loss_step=78.40, train_loss_epoch=78.50]

Epoch 19:  37%|███▋      | 10/27 [00:00<00:01, 11.75it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  41%|████      | 11/27 [00:00<00:01, 12.04it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  41%|████      | 11/27 [00:00<00:01, 12.03it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.50]

Epoch 19:  44%|████▍     | 12/27 [00:00<00:01, 12.44it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.50]

Epoch 19:  44%|████▍     | 12/27 [00:00<00:01, 12.43it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  48%|████▊     | 13/27 [00:01<00:01, 12.81it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  48%|████▊     | 13/27 [00:01<00:01, 12.80it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  52%|█████▏    | 14/27 [00:01<00:00, 13.10it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  52%|█████▏    | 14/27 [00:01<00:00, 13.09it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=78.50]

Epoch 19:  56%|█████▌    | 15/27 [00:01<00:00, 13.44it/s, v_num=0, train_loss_step=78.60, train_loss_epoch=78.50]

Epoch 19:  56%|█████▌    | 15/27 [00:01<00:00, 13.43it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  59%|█████▉    | 16/27 [00:01<00:00, 13.63it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  59%|█████▉    | 16/27 [00:01<00:00, 13.61it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.50]

Epoch 19:  63%|██████▎   | 17/27 [00:01<00:00, 13.85it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.50]

Epoch 19:  63%|██████▎   | 17/27 [00:01<00:00, 13.83it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  67%|██████▋   | 18/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=78.20, train_loss_epoch=78.50]

Epoch 19:  67%|██████▋   | 18/27 [00:01<00:00, 13.98it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.50]

Epoch 19:  70%|███████   | 19/27 [00:01<00:00, 14.19it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.50]

Epoch 19:  70%|███████   | 19/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.50]

Epoch 19:  74%|███████▍  | 20/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.50]

Epoch 19:  74%|███████▍  | 20/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=78.00, train_loss_epoch=78.50]

Epoch 19:  78%|███████▊  | 21/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=78.00, train_loss_epoch=78.50]

Epoch 19:  78%|███████▊  | 21/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=77.90, train_loss_epoch=78.50]

Epoch 19:  81%|████████▏ | 22/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=77.90, train_loss_epoch=78.50]

Epoch 19:  81%|████████▏ | 22/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  85%|████████▌ | 23/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=78.10, train_loss_epoch=78.50]

Epoch 19:  85%|████████▌ | 23/27 [00:01<00:00, 14.82it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.50]

Epoch 19:  89%|████████▉ | 24/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.50]

Epoch 19:  89%|████████▉ | 24/27 [00:01<00:00, 14.96it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.50]

Epoch 19:  93%|█████████▎| 25/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.50]

Epoch 19:  93%|█████████▎| 25/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.50]

Epoch 19:  96%|█████████▋| 26/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.50]

Epoch 19:  96%|█████████▋| 26/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.50]

Epoch 19: 100%|██████████| 27/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.50]

Epoch 19: 100%|██████████| 27/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.50]

Epoch 19: 100%|██████████| 27/27 [00:01<00:00, 15.24it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.00]

Epoch 19:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.00]         

Epoch 20:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.00]

Epoch 20:   4%|▎         | 1/27 [00:00<00:09,  2.82it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.00]

Epoch 20:   4%|▎         | 1/27 [00:00<00:09,  2.80it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.00]

Epoch 20:   7%|▋         | 2/27 [00:00<00:05,  4.84it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.00]

Epoch 20:   7%|▋         | 2/27 [00:00<00:05,  4.83it/s, v_num=0, train_loss_step=77.90, train_loss_epoch=78.00]

Epoch 20:  11%|█         | 3/27 [00:00<00:03,  6.36it/s, v_num=0, train_loss_step=77.90, train_loss_epoch=78.00]

Epoch 20:  11%|█         | 3/27 [00:00<00:03,  6.35it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.00]

Epoch 20:  15%|█▍        | 4/27 [00:00<00:02,  7.69it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.00]

Epoch 20:  15%|█▍        | 4/27 [00:00<00:02,  7.67it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  19%|█▊        | 5/27 [00:00<00:02,  8.77it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  19%|█▊        | 5/27 [00:00<00:02,  8.75it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.00]

Epoch 20:  22%|██▏       | 6/27 [00:00<00:02,  9.50it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.00]

Epoch 20:  22%|██▏       | 6/27 [00:00<00:02,  9.48it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.00]

Epoch 20:  26%|██▌       | 7/27 [00:00<00:01, 10.30it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.00]

Epoch 20:  26%|██▌       | 7/27 [00:00<00:01, 10.28it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.00]

Epoch 20:  30%|██▉       | 8/27 [00:00<00:01, 10.87it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.00]

Epoch 20:  30%|██▉       | 8/27 [00:00<00:01, 10.85it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=78.00]

Epoch 20:  33%|███▎      | 9/27 [00:00<00:01, 11.47it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=78.00]

Epoch 20:  33%|███▎      | 9/27 [00:00<00:01, 11.46it/s, v_num=0, train_loss_step=78.00, train_loss_epoch=78.00]

Epoch 20:  37%|███▋      | 10/27 [00:00<00:01, 11.96it/s, v_num=0, train_loss_step=78.00, train_loss_epoch=78.00]

Epoch 20:  37%|███▋      | 10/27 [00:00<00:01, 11.95it/s, v_num=0, train_loss_step=77.30, train_loss_epoch=78.00]

Epoch 20:  41%|████      | 11/27 [00:00<00:01, 12.37it/s, v_num=0, train_loss_step=77.30, train_loss_epoch=78.00]

Epoch 20:  41%|████      | 11/27 [00:00<00:01, 12.35it/s, v_num=0, train_loss_step=77.90, train_loss_epoch=78.00]

Epoch 20:  44%|████▍     | 12/27 [00:00<00:01, 12.73it/s, v_num=0, train_loss_step=77.90, train_loss_epoch=78.00]

Epoch 20:  44%|████▍     | 12/27 [00:00<00:01, 12.71it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  48%|████▊     | 13/27 [00:00<00:01, 13.09it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  48%|████▊     | 13/27 [00:00<00:01, 13.08it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.00]

Epoch 20:  52%|█████▏    | 14/27 [00:01<00:00, 13.39it/s, v_num=0, train_loss_step=77.70, train_loss_epoch=78.00]

Epoch 20:  52%|█████▏    | 14/27 [00:01<00:00, 13.38it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.00]

Epoch 20:  56%|█████▌    | 15/27 [00:01<00:00, 13.64it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.00]

Epoch 20:  56%|█████▌    | 15/27 [00:01<00:00, 13.63it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.00]

Epoch 20:  59%|█████▉    | 16/27 [00:01<00:00, 13.94it/s, v_num=0, train_loss_step=77.80, train_loss_epoch=78.00]

Epoch 20:  59%|█████▉    | 16/27 [00:01<00:00, 13.93it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.00]

Epoch 20:  63%|██████▎   | 17/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.00]

Epoch 20:  63%|██████▎   | 17/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  67%|██████▋   | 18/27 [00:01<00:00, 14.31it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  67%|██████▋   | 18/27 [00:01<00:00, 14.30it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.00]

Epoch 20:  70%|███████   | 19/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.00]

Epoch 20:  70%|███████   | 19/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.00]

Epoch 20:  74%|███████▍  | 20/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.00]

Epoch 20:  74%|███████▍  | 20/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.00]

Epoch 20:  78%|███████▊  | 21/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=77.50, train_loss_epoch=78.00]

Epoch 20:  78%|███████▊  | 21/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  81%|████████▏ | 22/27 [00:01<00:00, 14.94it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  81%|████████▏ | 22/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  85%|████████▌ | 23/27 [00:01<00:00, 15.08it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  85%|████████▌ | 23/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  89%|████████▉ | 24/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=78.00]

Epoch 20:  89%|████████▉ | 24/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.00]

Epoch 20:  93%|█████████▎| 25/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=78.00]

Epoch 20:  93%|█████████▎| 25/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=78.00]

Epoch 20:  96%|█████████▋| 26/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=78.00]

Epoch 20:  96%|█████████▋| 26/27 [00:01<00:00, 15.45it/s, v_num=0, train_loss_step=77.30, train_loss_epoch=78.00]

Epoch 20: 100%|██████████| 27/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=77.30, train_loss_epoch=78.00]

Epoch 20: 100%|██████████| 27/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=78.00]

Epoch 20: 100%|██████████| 27/27 [00:01<00:00, 15.64it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 20:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]         

Epoch 21:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:   4%|▎         | 1/27 [00:00<00:09,  2.81it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:   4%|▎         | 1/27 [00:00<00:09,  2.79it/s, v_num=0, train_loss_step=77.30, train_loss_epoch=77.50]

Epoch 21:   7%|▋         | 2/27 [00:00<00:05,  4.79it/s, v_num=0, train_loss_step=77.30, train_loss_epoch=77.50]

Epoch 21:   7%|▋         | 2/27 [00:00<00:05,  4.78it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.50]

Epoch 21:  11%|█         | 3/27 [00:00<00:03,  6.17it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.50]

Epoch 21:  11%|█         | 3/27 [00:00<00:03,  6.16it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21:  15%|█▍        | 4/27 [00:00<00:03,  7.22it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21:  15%|█▍        | 4/27 [00:00<00:03,  7.21it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=77.50]

Epoch 21:  19%|█▊        | 5/27 [00:00<00:02,  8.11it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=77.50]

Epoch 21:  19%|█▊        | 5/27 [00:00<00:02,  8.09it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=77.50]

Epoch 21:  22%|██▏       | 6/27 [00:00<00:02,  8.94it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=77.50]

Epoch 21:  22%|██▏       | 6/27 [00:00<00:02,  8.93it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.50]

Epoch 21:  26%|██▌       | 7/27 [00:00<00:02,  9.65it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.50]

Epoch 21:  26%|██▌       | 7/27 [00:00<00:02,  9.63it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  30%|██▉       | 8/27 [00:00<00:01, 10.19it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  30%|██▉       | 8/27 [00:00<00:01, 10.17it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.50]

Epoch 21:  33%|███▎      | 9/27 [00:00<00:01, 10.75it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.50]

Epoch 21:  33%|███▎      | 9/27 [00:00<00:01, 10.73it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  37%|███▋      | 10/27 [00:00<00:01, 11.24it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  37%|███▋      | 10/27 [00:00<00:01, 11.23it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  41%|████      | 11/27 [00:00<00:01, 11.67it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  41%|████      | 11/27 [00:00<00:01, 11.66it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.50]

Epoch 21:  44%|████▍     | 12/27 [00:00<00:01, 12.06it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.50]

Epoch 21:  44%|████▍     | 12/27 [00:00<00:01, 12.05it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21:  48%|████▊     | 13/27 [00:01<00:01, 12.45it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21:  48%|████▊     | 13/27 [00:01<00:01, 12.44it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  52%|█████▏    | 14/27 [00:01<00:01, 12.79it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  52%|█████▏    | 14/27 [00:01<00:01, 12.78it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21:  56%|█████▌    | 15/27 [00:01<00:00, 13.14it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21:  56%|█████▌    | 15/27 [00:01<00:00, 13.13it/s, v_num=0, train_loss_step=76.90, train_loss_epoch=77.50]

Epoch 21:  59%|█████▉    | 16/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=76.90, train_loss_epoch=77.50]

Epoch 21:  59%|█████▉    | 16/27 [00:01<00:00, 13.34it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.50]

Epoch 21:  63%|██████▎   | 17/27 [00:01<00:00, 13.56it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.50]

Epoch 21:  63%|██████▎   | 17/27 [00:01<00:00, 13.55it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=77.50]

Epoch 21:  67%|██████▋   | 18/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=77.60, train_loss_epoch=77.50]

Epoch 21:  67%|██████▋   | 18/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.50]

Epoch 21:  70%|███████   | 19/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.50]

Epoch 21:  70%|███████   | 19/27 [00:01<00:00, 13.98it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=77.50]

Epoch 21:  74%|███████▍  | 20/27 [00:01<00:00, 14.20it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=77.50]

Epoch 21:  74%|███████▍  | 20/27 [00:01<00:00, 14.19it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=77.50]

Epoch 21:  78%|███████▊  | 21/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=77.40, train_loss_epoch=77.50]

Epoch 21:  78%|███████▊  | 21/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  81%|████████▏ | 22/27 [00:01<00:00, 14.48it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21:  81%|████████▏ | 22/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=76.90, train_loss_epoch=77.50]

Epoch 21:  85%|████████▌ | 23/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=76.90, train_loss_epoch=77.50]

Epoch 21:  85%|████████▌ | 23/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.50]

Epoch 21:  89%|████████▉ | 24/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.50]

Epoch 21:  89%|████████▉ | 24/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.50]

Epoch 21:  93%|█████████▎| 25/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.50]

Epoch 21:  93%|█████████▎| 25/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21:  96%|█████████▋| 26/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21:  96%|█████████▋| 26/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21: 100%|██████████| 27/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=77.20, train_loss_epoch=77.50]

Epoch 21: 100%|██████████| 27/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.50]

Epoch 21: 100%|██████████| 27/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.10]

Epoch 21:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.10]         

Epoch 22:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.10]

Epoch 22:   4%|▎         | 1/27 [00:00<00:09,  2.85it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.10]

Epoch 22:   4%|▎         | 1/27 [00:00<00:09,  2.83it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.10]

Epoch 22:   7%|▋         | 2/27 [00:00<00:05,  4.90it/s, v_num=0, train_loss_step=77.10, train_loss_epoch=77.10]

Epoch 22:   7%|▋         | 2/27 [00:00<00:05,  4.89it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=77.10]

Epoch 22:  11%|█         | 3/27 [00:00<00:03,  6.45it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=77.10]

Epoch 22:  11%|█         | 3/27 [00:00<00:03,  6.44it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=77.10]

Epoch 22:  15%|█▍        | 4/27 [00:00<00:03,  7.65it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=77.10]

Epoch 22:  15%|█▍        | 4/27 [00:00<00:03,  7.64it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=77.10]

Epoch 22:  19%|█▊        | 5/27 [00:00<00:02,  8.48it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=77.10]

Epoch 22:  19%|█▊        | 5/27 [00:00<00:02,  8.46it/s, v_num=0, train_loss_step=76.90, train_loss_epoch=77.10]

Epoch 22:  22%|██▏       | 6/27 [00:00<00:02,  9.24it/s, v_num=0, train_loss_step=76.90, train_loss_epoch=77.10]

Epoch 22:  22%|██▏       | 6/27 [00:00<00:02,  9.23it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.10]

Epoch 22:  26%|██▌       | 7/27 [00:00<00:02,  9.87it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.10]

Epoch 22:  26%|██▌       | 7/27 [00:00<00:02,  9.86it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.10]

Epoch 22:  30%|██▉       | 8/27 [00:00<00:01, 10.26it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.10]

Epoch 22:  30%|██▉       | 8/27 [00:00<00:01, 10.25it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22:  33%|███▎      | 9/27 [00:00<00:01, 10.65it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22:  33%|███▎      | 9/27 [00:00<00:01, 10.63it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=77.10]

Epoch 22:  37%|███▋      | 10/27 [00:00<00:01, 11.10it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=77.10]

Epoch 22:  37%|███▋      | 10/27 [00:00<00:01, 11.09it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.10]

Epoch 22:  41%|████      | 11/27 [00:00<00:01, 11.52it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.10]

Epoch 22:  41%|████      | 11/27 [00:00<00:01, 11.51it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=77.10]

Epoch 22:  44%|████▍     | 12/27 [00:01<00:01, 11.81it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=77.10]

Epoch 22:  44%|████▍     | 12/27 [00:01<00:01, 11.80it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=77.10]

Epoch 22:  48%|████▊     | 13/27 [00:01<00:01, 12.23it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=77.10]

Epoch 22:  48%|████▊     | 13/27 [00:01<00:01, 12.22it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22:  52%|█████▏    | 14/27 [00:01<00:01, 12.56it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22:  52%|█████▏    | 14/27 [00:01<00:01, 12.54it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22:  56%|█████▌    | 15/27 [00:01<00:00, 12.73it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22:  56%|█████▌    | 15/27 [00:01<00:00, 12.71it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.10]

Epoch 22:  59%|█████▉    | 16/27 [00:01<00:00, 12.91it/s, v_num=0, train_loss_step=76.80, train_loss_epoch=77.10]

Epoch 22:  59%|█████▉    | 16/27 [00:01<00:00, 12.90it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22:  63%|██████▎   | 17/27 [00:01<00:00, 13.18it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22:  63%|██████▎   | 17/27 [00:01<00:00, 13.17it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=77.10]

Epoch 22:  67%|██████▋   | 18/27 [00:01<00:00, 13.37it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=77.10]

Epoch 22:  67%|██████▋   | 18/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=77.10]

Epoch 22:  70%|███████   | 19/27 [00:01<00:00, 13.59it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=77.10]

Epoch 22:  70%|███████   | 19/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.10]

Epoch 22:  74%|███████▍  | 20/27 [00:01<00:00, 13.73it/s, v_num=0, train_loss_step=77.00, train_loss_epoch=77.10]

Epoch 22:  74%|███████▍  | 20/27 [00:01<00:00, 13.72it/s, v_num=0, train_loss_step=76.90, train_loss_epoch=77.10]

Epoch 22:  78%|███████▊  | 21/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=76.90, train_loss_epoch=77.10]

Epoch 22:  78%|███████▊  | 21/27 [00:01<00:00, 13.91it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=77.10]

Epoch 22:  81%|████████▏ | 22/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=77.10]

Epoch 22:  81%|████████▏ | 22/27 [00:01<00:00, 14.03it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=77.10]

Epoch 22:  85%|████████▌ | 23/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=77.10]

Epoch 22:  85%|████████▌ | 23/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=77.10]

Epoch 22:  89%|████████▉ | 24/27 [00:01<00:00, 14.32it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=77.10]

Epoch 22:  89%|████████▉ | 24/27 [00:01<00:00, 14.31it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=77.10]

Epoch 22:  93%|█████████▎| 25/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=77.10]

Epoch 22:  93%|█████████▎| 25/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=77.10]

Epoch 22:  96%|█████████▋| 26/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=77.10]

Epoch 22:  96%|█████████▋| 26/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22: 100%|██████████| 27/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=77.10]

Epoch 22: 100%|██████████| 27/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=77.10]

Epoch 22: 100%|██████████| 27/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 22:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]         

Epoch 23:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:   4%|▎         | 1/27 [00:00<00:09,  2.88it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:   4%|▎         | 1/27 [00:00<00:09,  2.86it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:   7%|▋         | 2/27 [00:00<00:05,  4.72it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:   7%|▋         | 2/27 [00:00<00:05,  4.71it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  11%|█         | 3/27 [00:00<00:03,  6.12it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  11%|█         | 3/27 [00:00<00:03,  6.11it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  15%|█▍        | 4/27 [00:00<00:03,  7.40it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  15%|█▍        | 4/27 [00:00<00:03,  7.39it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  19%|█▊        | 5/27 [00:00<00:02,  8.37it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  19%|█▊        | 5/27 [00:00<00:02,  8.35it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=76.60]

Epoch 23:  22%|██▏       | 6/27 [00:00<00:02,  9.24it/s, v_num=0, train_loss_step=76.50, train_loss_epoch=76.60]

Epoch 23:  22%|██▏       | 6/27 [00:00<00:02,  9.23it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  26%|██▌       | 7/27 [00:00<00:02,  9.93it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  26%|██▌       | 7/27 [00:00<00:02,  9.92it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  30%|██▉       | 8/27 [00:00<00:01, 10.50it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  30%|██▉       | 8/27 [00:00<00:01, 10.49it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  33%|███▎      | 9/27 [00:00<00:01, 11.11it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  33%|███▎      | 9/27 [00:00<00:01, 11.10it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=76.60]

Epoch 23:  37%|███▋      | 10/27 [00:00<00:01, 11.63it/s, v_num=0, train_loss_step=76.70, train_loss_epoch=76.60]

Epoch 23:  37%|███▋      | 10/27 [00:00<00:01, 11.62it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=76.60]

Epoch 23:  41%|████      | 11/27 [00:00<00:01, 12.13it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=76.60]

Epoch 23:  41%|████      | 11/27 [00:00<00:01, 12.12it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=76.60]

Epoch 23:  44%|████▍     | 12/27 [00:00<00:01, 12.55it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=76.60]

Epoch 23:  44%|████▍     | 12/27 [00:00<00:01, 12.54it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=76.60]

Epoch 23:  48%|████▊     | 13/27 [00:00<00:01, 13.01it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=76.60]

Epoch 23:  48%|████▊     | 13/27 [00:01<00:01, 13.00it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  52%|█████▏    | 14/27 [00:01<00:00, 13.21it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  52%|█████▏    | 14/27 [00:01<00:00, 13.19it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=76.60]

Epoch 23:  56%|█████▌    | 15/27 [00:01<00:00, 13.55it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=76.60]

Epoch 23:  56%|█████▌    | 15/27 [00:01<00:00, 13.54it/s, v_num=0, train_loss_step=76.10, train_loss_epoch=76.60]

Epoch 23:  59%|█████▉    | 16/27 [00:01<00:00, 13.83it/s, v_num=0, train_loss_step=76.10, train_loss_epoch=76.60]

Epoch 23:  59%|█████▉    | 16/27 [00:01<00:00, 13.82it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=76.60]

Epoch 23:  63%|██████▎   | 17/27 [00:01<00:00, 14.11it/s, v_num=0, train_loss_step=76.60, train_loss_epoch=76.60]

Epoch 23:  63%|██████▎   | 17/27 [00:01<00:00, 14.10it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.60]

Epoch 23:  67%|██████▋   | 18/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.60]

Epoch 23:  67%|██████▋   | 18/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=76.30, train_loss_epoch=76.60]

Epoch 23:  70%|███████   | 19/27 [00:01<00:00, 14.48it/s, v_num=0, train_loss_step=76.30, train_loss_epoch=76.60]

Epoch 23:  70%|███████   | 19/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  74%|███████▍  | 20/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=76.40, train_loss_epoch=76.60]

Epoch 23:  74%|███████▍  | 20/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  78%|███████▊  | 21/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  78%|███████▊  | 21/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  81%|████████▏ | 22/27 [00:01<00:00, 14.94it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23:  81%|████████▏ | 22/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.60]

Epoch 23:  85%|████████▌ | 23/27 [00:01<00:00, 15.04it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.60]

Epoch 23:  85%|████████▌ | 23/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.60]

Epoch 23:  89%|████████▉ | 24/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.60]

Epoch 23:  89%|████████▉ | 24/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.60]

Epoch 23:  93%|█████████▎| 25/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.60]

Epoch 23:  93%|█████████▎| 25/27 [00:01<00:00, 15.24it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.60]

Epoch 23:  96%|█████████▋| 26/27 [00:01<00:00, 15.43it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.60]

Epoch 23:  96%|█████████▋| 26/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.60]

Epoch 23: 100%|██████████| 27/27 [00:01<00:00, 15.64it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.60]

Epoch 23: 100%|██████████| 27/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.60]

Epoch 23: 100%|██████████| 27/27 [00:01<00:00, 15.62it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.10]

Epoch 23:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.10]         

Epoch 24:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.10]

Epoch 24:   4%|▎         | 1/27 [00:00<00:09,  2.83it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.10]

Epoch 24:   4%|▎         | 1/27 [00:00<00:09,  2.81it/s, v_num=0, train_loss_step=76.30, train_loss_epoch=76.10]

Epoch 24:   7%|▋         | 2/27 [00:00<00:05,  4.86it/s, v_num=0, train_loss_step=76.30, train_loss_epoch=76.10]

Epoch 24:   7%|▋         | 2/27 [00:00<00:05,  4.85it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.10]

Epoch 24:  11%|█         | 3/27 [00:00<00:03,  6.37it/s, v_num=0, train_loss_step=76.00, train_loss_epoch=76.10]

Epoch 24:  11%|█         | 3/27 [00:00<00:03,  6.36it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=76.10]

Epoch 24:  15%|█▍        | 4/27 [00:00<00:03,  7.49it/s, v_num=0, train_loss_step=76.20, train_loss_epoch=76.10]

Epoch 24:  15%|█▍        | 4/27 [00:00<00:03,  7.48it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.10]

Epoch 24:  19%|█▊        | 5/27 [00:00<00:02,  8.35it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.10]

Epoch 24:  19%|█▊        | 5/27 [00:00<00:02,  8.34it/s, v_num=0, train_loss_step=76.10, train_loss_epoch=76.10]

Epoch 24:  22%|██▏       | 6/27 [00:00<00:02,  9.06it/s, v_num=0, train_loss_step=76.10, train_loss_epoch=76.10]

Epoch 24:  22%|██▏       | 6/27 [00:00<00:02,  9.05it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  26%|██▌       | 7/27 [00:00<00:02,  9.66it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  26%|██▌       | 7/27 [00:00<00:02,  9.65it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.10]

Epoch 24:  30%|██▉       | 8/27 [00:00<00:01, 10.30it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.10]

Epoch 24:  30%|██▉       | 8/27 [00:00<00:01, 10.28it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.10]

Epoch 24:  33%|███▎      | 9/27 [00:00<00:01, 10.82it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.10]

Epoch 24:  33%|███▎      | 9/27 [00:00<00:01, 10.81it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.10]

Epoch 24:  37%|███▋      | 10/27 [00:00<00:01, 11.28it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.10]

Epoch 24:  37%|███▋      | 10/27 [00:00<00:01, 11.27it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=76.10]

Epoch 24:  41%|████      | 11/27 [00:00<00:01, 11.70it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=76.10]

Epoch 24:  41%|████      | 11/27 [00:00<00:01, 11.69it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.10]

Epoch 24:  44%|████▍     | 12/27 [00:00<00:01, 12.10it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.10]

Epoch 24:  44%|████▍     | 12/27 [00:00<00:01, 12.09it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  48%|████▊     | 13/27 [00:01<00:01, 12.48it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  48%|████▊     | 13/27 [00:01<00:01, 12.47it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.10]

Epoch 24:  52%|█████▏    | 14/27 [00:01<00:01, 12.81it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.10]

Epoch 24:  52%|█████▏    | 14/27 [00:01<00:01, 12.80it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=76.10]

Epoch 24:  56%|█████▌    | 15/27 [00:01<00:00, 13.06it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=76.10]

Epoch 24:  56%|█████▌    | 15/27 [00:01<00:00, 13.05it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  59%|█████▉    | 16/27 [00:01<00:00, 13.34it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  59%|█████▉    | 16/27 [00:01<00:00, 13.33it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.10]

Epoch 24:  63%|██████▎   | 17/27 [00:01<00:00, 13.61it/s, v_num=0, train_loss_step=75.90, train_loss_epoch=76.10]

Epoch 24:  63%|██████▎   | 17/27 [00:01<00:00, 13.59it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=76.10]

Epoch 24:  67%|██████▋   | 18/27 [00:01<00:00, 13.84it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=76.10]

Epoch 24:  67%|██████▋   | 18/27 [00:01<00:00, 13.83it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=76.10]

Epoch 24:  70%|███████   | 19/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=76.10]

Epoch 24:  70%|███████   | 19/27 [00:01<00:00, 13.94it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  74%|███████▍  | 20/27 [00:01<00:00, 14.13it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  74%|███████▍  | 20/27 [00:01<00:00, 14.12it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=76.10]

Epoch 24:  78%|███████▊  | 21/27 [00:01<00:00, 14.30it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=76.10]

Epoch 24:  78%|███████▊  | 21/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  81%|████████▏ | 22/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=76.10]

Epoch 24:  81%|████████▏ | 22/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=76.10]

Epoch 24:  85%|████████▌ | 23/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=76.10]

Epoch 24:  85%|████████▌ | 23/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=76.10]

Epoch 24:  89%|████████▉ | 24/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=76.10]

Epoch 24:  89%|████████▉ | 24/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=76.10]

Epoch 24:  93%|█████████▎| 25/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=76.10]

Epoch 24:  93%|█████████▎| 25/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=76.10]

Epoch 24:  96%|█████████▋| 26/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=76.10]

Epoch 24:  96%|█████████▋| 26/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=76.10]

Epoch 24: 100%|██████████| 27/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=76.10]

Epoch 24: 100%|██████████| 27/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=76.10]

Epoch 24: 100%|██████████| 27/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=75.70]

Epoch 24:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=75.70]         

Epoch 25:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=75.70]

Epoch 25:   4%|▎         | 1/27 [00:00<00:08,  3.04it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=75.70]

Epoch 25:   4%|▎         | 1/27 [00:00<00:08,  3.02it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=75.70]

Epoch 25:   7%|▋         | 2/27 [00:00<00:04,  5.20it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=75.70]

Epoch 25:   7%|▋         | 2/27 [00:00<00:04,  5.19it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.70]

Epoch 25:  11%|█         | 3/27 [00:00<00:03,  6.90it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.70]

Epoch 25:  11%|█         | 3/27 [00:00<00:03,  6.89it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=75.70]

Epoch 25:  15%|█▍        | 4/27 [00:00<00:02,  8.13it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=75.70]

Epoch 25:  15%|█▍        | 4/27 [00:00<00:02,  8.11it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=75.70]

Epoch 25:  19%|█▊        | 5/27 [00:00<00:02,  9.05it/s, v_num=0, train_loss_step=75.70, train_loss_epoch=75.70]

Epoch 25:  19%|█▊        | 5/27 [00:00<00:02,  9.03it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.70]

Epoch 25:  22%|██▏       | 6/27 [00:00<00:02,  9.76it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.70]

Epoch 25:  22%|██▏       | 6/27 [00:00<00:02,  9.75it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=75.70]

Epoch 25:  26%|██▌       | 7/27 [00:00<00:01, 10.47it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=75.70]

Epoch 25:  26%|██▌       | 7/27 [00:00<00:01, 10.45it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=75.70]

Epoch 25:  30%|██▉       | 8/27 [00:00<00:01, 11.06it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=75.70]

Epoch 25:  30%|██▉       | 8/27 [00:00<00:01, 11.04it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=75.70]

Epoch 25:  33%|███▎      | 9/27 [00:00<00:01, 11.66it/s, v_num=0, train_loss_step=75.80, train_loss_epoch=75.70]

Epoch 25:  33%|███▎      | 9/27 [00:00<00:01, 11.64it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=75.70]

Epoch 25:  37%|███▋      | 10/27 [00:00<00:01, 12.10it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=75.70]

Epoch 25:  37%|███▋      | 10/27 [00:00<00:01, 12.09it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  41%|████      | 11/27 [00:00<00:01, 12.53it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  41%|████      | 11/27 [00:00<00:01, 12.51it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  44%|████▍     | 12/27 [00:00<00:01, 12.87it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  44%|████▍     | 12/27 [00:00<00:01, 12.86it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  48%|████▊     | 13/27 [00:00<00:01, 13.26it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  48%|████▊     | 13/27 [00:00<00:01, 13.25it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  52%|█████▏    | 14/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  52%|█████▏    | 14/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=75.70]

Epoch 25:  56%|█████▌    | 15/27 [00:01<00:00, 13.77it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=75.70]

Epoch 25:  56%|█████▌    | 15/27 [00:01<00:00, 13.76it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=75.70]

Epoch 25:  59%|█████▉    | 16/27 [00:01<00:00, 14.10it/s, v_num=0, train_loss_step=75.50, train_loss_epoch=75.70]

Epoch 25:  59%|█████▉    | 16/27 [00:01<00:00, 14.09it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=75.70]

Epoch 25:  63%|██████▎   | 17/27 [00:01<00:00, 14.37it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=75.70]

Epoch 25:  63%|██████▎   | 17/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=75.00, train_loss_epoch=75.70]

Epoch 25:  67%|██████▋   | 18/27 [00:01<00:00, 14.59it/s, v_num=0, train_loss_step=75.00, train_loss_epoch=75.70]

Epoch 25:  67%|██████▋   | 18/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.70]

Epoch 25:  70%|███████   | 19/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.70]

Epoch 25:  70%|███████   | 19/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=75.70]

Epoch 25:  74%|███████▍  | 20/27 [00:01<00:00, 14.94it/s, v_num=0, train_loss_step=75.30, train_loss_epoch=75.70]

Epoch 25:  74%|███████▍  | 20/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.70]

Epoch 25:  78%|███████▊  | 21/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.70]

Epoch 25:  78%|███████▊  | 21/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=75.70]

Epoch 25:  81%|████████▏ | 22/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=75.60, train_loss_epoch=75.70]

Epoch 25:  81%|████████▏ | 22/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=75.00, train_loss_epoch=75.70]

Epoch 25:  85%|████████▌ | 23/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=75.00, train_loss_epoch=75.70]

Epoch 25:  85%|████████▌ | 23/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.70]

Epoch 25:  89%|████████▉ | 24/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.70]

Epoch 25:  89%|████████▉ | 24/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  93%|█████████▎| 25/27 [00:01<00:00, 15.54it/s, v_num=0, train_loss_step=75.20, train_loss_epoch=75.70]

Epoch 25:  93%|█████████▎| 25/27 [00:01<00:00, 15.53it/s, v_num=0, train_loss_step=75.00, train_loss_epoch=75.70]

Epoch 25:  96%|█████████▋| 26/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=75.00, train_loss_epoch=75.70]

Epoch 25:  96%|█████████▋| 26/27 [00:01<00:00, 15.64it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=75.70]

Epoch 25: 100%|██████████| 27/27 [00:01<00:00, 15.85it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=75.70]

Epoch 25: 100%|██████████| 27/27 [00:01<00:00, 15.84it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.70]

Epoch 25: 100%|██████████| 27/27 [00:01<00:00, 15.83it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 25:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]         

Epoch 26:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26:   4%|▎         | 1/27 [00:00<00:08,  2.98it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26:   4%|▎         | 1/27 [00:00<00:08,  2.96it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=75.30]

Epoch 26:   7%|▋         | 2/27 [00:00<00:04,  5.03it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=75.30]

Epoch 26:   7%|▋         | 2/27 [00:00<00:04,  5.01it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  11%|█         | 3/27 [00:00<00:03,  6.52it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  11%|█         | 3/27 [00:00<00:03,  6.51it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=75.30]

Epoch 26:  15%|█▍        | 4/27 [00:00<00:02,  7.76it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=75.30]

Epoch 26:  15%|█▍        | 4/27 [00:00<00:02,  7.75it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=75.30]

Epoch 26:  19%|█▊        | 5/27 [00:00<00:02,  8.80it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=75.30]

Epoch 26:  19%|█▊        | 5/27 [00:00<00:02,  8.79it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=75.30]

Epoch 26:  22%|██▏       | 6/27 [00:00<00:02,  9.48it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=75.30]

Epoch 26:  22%|██▏       | 6/27 [00:00<00:02,  9.47it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.30]

Epoch 26:  26%|██▌       | 7/27 [00:00<00:01, 10.18it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.30]

Epoch 26:  26%|██▌       | 7/27 [00:00<00:01, 10.16it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  30%|██▉       | 8/27 [00:00<00:01, 10.77it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  30%|██▉       | 8/27 [00:00<00:01, 10.76it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  33%|███▎      | 9/27 [00:00<00:01, 11.31it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  33%|███▎      | 9/27 [00:00<00:01, 11.30it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.30]

Epoch 26:  37%|███▋      | 10/27 [00:00<00:01, 11.81it/s, v_num=0, train_loss_step=75.10, train_loss_epoch=75.30]

Epoch 26:  37%|███▋      | 10/27 [00:00<00:01, 11.80it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=75.30]

Epoch 26:  41%|████      | 11/27 [00:00<00:01, 12.25it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=75.30]

Epoch 26:  41%|████      | 11/27 [00:00<00:01, 12.22it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=75.30]

Epoch 26:  44%|████▍     | 12/27 [00:00<00:01, 12.44it/s, v_num=0, train_loss_step=75.40, train_loss_epoch=75.30]

Epoch 26:  44%|████▍     | 12/27 [00:00<00:01, 12.43it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  48%|████▊     | 13/27 [00:01<00:01, 12.83it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  48%|████▊     | 13/27 [00:01<00:01, 12.82it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=75.30]

Epoch 26:  52%|█████▏    | 14/27 [00:01<00:00, 13.19it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=75.30]

Epoch 26:  52%|█████▏    | 14/27 [00:01<00:00, 13.18it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  56%|█████▌    | 15/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  56%|█████▌    | 15/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26:  59%|█████▉    | 16/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26:  59%|█████▉    | 16/27 [00:01<00:00, 13.70it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=75.30]

Epoch 26:  63%|██████▎   | 17/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=75.30]

Epoch 26:  63%|██████▎   | 17/27 [00:01<00:00, 13.94it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=75.30]

Epoch 26:  67%|██████▋   | 18/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=75.30]

Epoch 26:  67%|██████▋   | 18/27 [00:01<00:00, 14.16it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26:  70%|███████   | 19/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26:  70%|███████   | 19/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26:  74%|███████▍  | 20/27 [00:01<00:00, 14.59it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26:  74%|███████▍  | 20/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=75.30]

Epoch 26:  78%|███████▊  | 21/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=75.30]

Epoch 26:  78%|███████▊  | 21/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  81%|████████▏ | 22/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  81%|████████▏ | 22/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=75.00, train_loss_epoch=75.30]

Epoch 26:  85%|████████▌ | 23/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=75.00, train_loss_epoch=75.30]

Epoch 26:  85%|████████▌ | 23/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=75.30]

Epoch 26:  89%|████████▉ | 24/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=75.30]

Epoch 26:  89%|████████▉ | 24/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  93%|█████████▎| 25/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=74.90, train_loss_epoch=75.30]

Epoch 26:  93%|█████████▎| 25/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=75.30]

Epoch 26:  96%|█████████▋| 26/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=75.30]

Epoch 26:  96%|█████████▋| 26/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26: 100%|██████████| 27/27 [00:01<00:00, 15.73it/s, v_num=0, train_loss_step=74.70, train_loss_epoch=75.30]

Epoch 26: 100%|██████████| 27/27 [00:01<00:00, 15.72it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=75.30]

Epoch 26: 100%|██████████| 27/27 [00:01<00:00, 15.71it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 26:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]         

Epoch 27:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:   4%|▎         | 1/27 [00:00<00:08,  2.92it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=74.80]

Epoch 27:   7%|▋         | 2/27 [00:00<00:05,  5.00it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=74.80]

Epoch 27:   7%|▋         | 2/27 [00:00<00:05,  4.98it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.80]

Epoch 27:  11%|█         | 3/27 [00:00<00:03,  6.59it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.80]

Epoch 27:  11%|█         | 3/27 [00:00<00:03,  6.58it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  15%|█▍        | 4/27 [00:00<00:02,  7.75it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  15%|█▍        | 4/27 [00:00<00:02,  7.74it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.80]

Epoch 27:  19%|█▊        | 5/27 [00:00<00:02,  8.73it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.80]

Epoch 27:  19%|█▊        | 5/27 [00:00<00:02,  8.71it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  22%|██▏       | 6/27 [00:00<00:02,  9.58it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  22%|██▏       | 6/27 [00:00<00:02,  9.57it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=74.80]

Epoch 27:  26%|██▌       | 7/27 [00:00<00:01, 10.25it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=74.80]

Epoch 27:  26%|██▌       | 7/27 [00:00<00:01, 10.24it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  30%|██▉       | 8/27 [00:00<00:01, 10.85it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  30%|██▉       | 8/27 [00:00<00:01, 10.83it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  33%|███▎      | 9/27 [00:00<00:01, 11.42it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  33%|███▎      | 9/27 [00:00<00:01, 11.41it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.80]

Epoch 27:  37%|███▋      | 10/27 [00:00<00:01, 11.89it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.80]

Epoch 27:  37%|███▋      | 10/27 [00:00<00:01, 11.88it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=74.80]

Epoch 27:  41%|████      | 11/27 [00:00<00:01, 12.29it/s, v_num=0, train_loss_step=74.80, train_loss_epoch=74.80]

Epoch 27:  41%|████      | 11/27 [00:00<00:01, 12.27it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.80]

Epoch 27:  44%|████▍     | 12/27 [00:00<00:01, 12.70it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.80]

Epoch 27:  44%|████▍     | 12/27 [00:00<00:01, 12.69it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=74.80]

Epoch 27:  48%|████▊     | 13/27 [00:00<00:01, 13.10it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=74.80]

Epoch 27:  48%|████▊     | 13/27 [00:00<00:01, 13.09it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  52%|█████▏    | 14/27 [00:01<00:00, 13.43it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  52%|█████▏    | 14/27 [00:01<00:00, 13.41it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.80]

Epoch 27:  56%|█████▌    | 15/27 [00:01<00:00, 13.69it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.80]

Epoch 27:  56%|█████▌    | 15/27 [00:01<00:00, 13.68it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  59%|█████▉    | 16/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  59%|█████▉    | 16/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  63%|██████▎   | 17/27 [00:01<00:00, 14.37it/s, v_num=0, train_loss_step=74.50, train_loss_epoch=74.80]

Epoch 27:  63%|██████▎   | 17/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.80]

Epoch 27:  67%|██████▋   | 18/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.80]

Epoch 27:  67%|██████▋   | 18/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  70%|███████   | 19/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  70%|███████   | 19/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.80]

Epoch 27:  74%|███████▍  | 20/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.80]

Epoch 27:  74%|███████▍  | 20/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  78%|███████▊  | 21/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  78%|███████▊  | 21/27 [00:01<00:00, 14.96it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.80]

Epoch 27:  81%|████████▏ | 22/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.80]

Epoch 27:  81%|████████▏ | 22/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=74.20, train_loss_epoch=74.80]

Epoch 27:  85%|████████▌ | 23/27 [00:01<00:00, 15.24it/s, v_num=0, train_loss_step=74.20, train_loss_epoch=74.80]

Epoch 27:  85%|████████▌ | 23/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  89%|████████▉ | 24/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.80]

Epoch 27:  89%|████████▉ | 24/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=74.80]

Epoch 27:  93%|█████████▎| 25/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=74.60, train_loss_epoch=74.80]

Epoch 27:  93%|█████████▎| 25/27 [00:01<00:00, 15.48it/s, v_num=0, train_loss_step=74.20, train_loss_epoch=74.80]

Epoch 27:  96%|█████████▋| 26/27 [00:01<00:00, 15.60it/s, v_num=0, train_loss_step=74.20, train_loss_epoch=74.80]

Epoch 27:  96%|█████████▋| 26/27 [00:01<00:00, 15.59it/s, v_num=0, train_loss_step=74.20, train_loss_epoch=74.80]

Epoch 27: 100%|██████████| 27/27 [00:01<00:00, 15.84it/s, v_num=0, train_loss_step=74.20, train_loss_epoch=74.80]

Epoch 27: 100%|██████████| 27/27 [00:01<00:00, 15.83it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.80]

Epoch 27: 100%|██████████| 27/27 [00:01<00:00, 15.82it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.40]

Epoch 27:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.40]         

Epoch 28:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.40]

Epoch 28:   4%|▎         | 1/27 [00:00<00:08,  3.13it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.40]

Epoch 28:   4%|▎         | 1/27 [00:00<00:08,  3.11it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:   7%|▋         | 2/27 [00:00<00:04,  5.24it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:   7%|▋         | 2/27 [00:00<00:04,  5.22it/s, v_num=0, train_loss_step=74.20, train_loss_epoch=74.40]

Epoch 28:  11%|█         | 3/27 [00:00<00:03,  6.75it/s, v_num=0, train_loss_step=74.20, train_loss_epoch=74.40]

Epoch 28:  11%|█         | 3/27 [00:00<00:03,  6.74it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.40]

Epoch 28:  15%|█▍        | 4/27 [00:00<00:02,  8.09it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.40]

Epoch 28:  15%|█▍        | 4/27 [00:00<00:02,  8.07it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.40]

Epoch 28:  19%|█▊        | 5/27 [00:00<00:02,  9.10it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.40]

Epoch 28:  19%|█▊        | 5/27 [00:00<00:02,  9.08it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.40]

Epoch 28:  22%|██▏       | 6/27 [00:00<00:02,  9.76it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.40]

Epoch 28:  22%|██▏       | 6/27 [00:00<00:02,  9.74it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.40]

Epoch 28:  26%|██▌       | 7/27 [00:00<00:01, 10.37it/s, v_num=0, train_loss_step=74.40, train_loss_epoch=74.40]

Epoch 28:  26%|██▌       | 7/27 [00:00<00:01, 10.35it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.40]

Epoch 28:  30%|██▉       | 8/27 [00:00<00:01, 10.82it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.40]

Epoch 28:  30%|██▉       | 8/27 [00:00<00:01, 10.81it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:  33%|███▎      | 9/27 [00:00<00:01, 11.22it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:  33%|███▎      | 9/27 [00:00<00:01, 11.20it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:  37%|███▋      | 10/27 [00:00<00:01, 11.74it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:  37%|███▋      | 10/27 [00:00<00:01, 11.72it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=74.40]

Epoch 28:  41%|████      | 11/27 [00:00<00:01, 12.18it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=74.40]

Epoch 28:  41%|████      | 11/27 [00:00<00:01, 12.16it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.40]

Epoch 28:  44%|████▍     | 12/27 [00:00<00:01, 12.58it/s, v_num=0, train_loss_step=74.30, train_loss_epoch=74.40]

Epoch 28:  44%|████▍     | 12/27 [00:00<00:01, 12.56it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  48%|████▊     | 13/27 [00:01<00:01, 12.97it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  48%|████▊     | 13/27 [00:01<00:01, 12.95it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=74.40]

Epoch 28:  52%|█████▏    | 14/27 [00:01<00:00, 13.28it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=74.40]

Epoch 28:  52%|█████▏    | 14/27 [00:01<00:00, 13.26it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  56%|█████▌    | 15/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  56%|█████▌    | 15/27 [00:01<00:00, 13.56it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.40]

Epoch 28:  59%|█████▉    | 16/27 [00:01<00:00, 13.84it/s, v_num=0, train_loss_step=74.10, train_loss_epoch=74.40]

Epoch 28:  59%|█████▉    | 16/27 [00:01<00:00, 13.83it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=74.40]

Epoch 28:  63%|██████▎   | 17/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=74.40]

Epoch 28:  63%|██████▎   | 17/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  67%|██████▋   | 18/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  67%|██████▋   | 18/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  70%|███████   | 19/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  70%|███████   | 19/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  74%|███████▍  | 20/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=74.40]

Epoch 28:  74%|███████▍  | 20/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=74.40]

Epoch 28:  78%|███████▊  | 21/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=74.40]

Epoch 28:  78%|███████▊  | 21/27 [00:01<00:00, 14.82it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:  81%|████████▏ | 22/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:  81%|████████▏ | 22/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:  85%|████████▌ | 23/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=74.00, train_loss_epoch=74.40]

Epoch 28:  85%|████████▌ | 23/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=74.40]

Epoch 28:  89%|████████▉ | 24/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=74.40]

Epoch 28:  89%|████████▉ | 24/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=74.40]

Epoch 28:  93%|█████████▎| 25/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=74.40]

Epoch 28:  93%|█████████▎| 25/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=74.40]

Epoch 28:  96%|█████████▋| 26/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=74.40]

Epoch 28:  96%|█████████▋| 26/27 [00:01<00:00, 15.41it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=74.40]

Epoch 28: 100%|██████████| 27/27 [00:01<00:00, 15.64it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=74.40]

Epoch 28: 100%|██████████| 27/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=74.40]

Epoch 28: 100%|██████████| 27/27 [00:01<00:00, 15.61it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 28:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]         

Epoch 29:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:   4%|▎         | 1/27 [00:00<00:09,  2.78it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:   4%|▎         | 1/27 [00:00<00:09,  2.76it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:   7%|▋         | 2/27 [00:00<00:05,  4.81it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:   7%|▋         | 2/27 [00:00<00:05,  4.80it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  11%|█         | 3/27 [00:00<00:03,  6.46it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  11%|█         | 3/27 [00:00<00:03,  6.45it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=73.90]

Epoch 29:  15%|█▍        | 4/27 [00:00<00:02,  7.80it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=73.90]

Epoch 29:  15%|█▍        | 4/27 [00:00<00:02,  7.79it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=73.90]

Epoch 29:  19%|█▊        | 5/27 [00:00<00:02,  8.79it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=73.90]

Epoch 29:  19%|█▊        | 5/27 [00:00<00:02,  8.78it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:  22%|██▏       | 6/27 [00:00<00:02,  9.49it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:  22%|██▏       | 6/27 [00:00<00:02,  9.48it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=73.90]

Epoch 29:  26%|██▌       | 7/27 [00:00<00:01, 10.28it/s, v_num=0, train_loss_step=73.90, train_loss_epoch=73.90]

Epoch 29:  26%|██▌       | 7/27 [00:00<00:01, 10.27it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=73.90]

Epoch 29:  30%|██▉       | 8/27 [00:00<00:01, 10.93it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=73.90]

Epoch 29:  30%|██▉       | 8/27 [00:00<00:01, 10.92it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=73.90]

Epoch 29:  33%|███▎      | 9/27 [00:00<00:01, 11.60it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=73.90]

Epoch 29:  33%|███▎      | 9/27 [00:00<00:01, 11.58it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=73.90]

Epoch 29:  37%|███▋      | 10/27 [00:00<00:01, 12.33it/s, v_num=0, train_loss_step=73.80, train_loss_epoch=73.90]

Epoch 29:  37%|███▋      | 10/27 [00:00<00:01, 12.32it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=73.90]

Epoch 29:  41%|████      | 11/27 [00:00<00:01, 12.89it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=73.90]

Epoch 29:  41%|████      | 11/27 [00:00<00:01, 12.87it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  44%|████▍     | 12/27 [00:00<00:01, 13.26it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  44%|████▍     | 12/27 [00:00<00:01, 13.25it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=73.90]

Epoch 29:  48%|████▊     | 13/27 [00:00<00:01, 13.53it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=73.90]

Epoch 29:  48%|████▊     | 13/27 [00:00<00:01, 13.52it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.90]

Epoch 29:  52%|█████▏    | 14/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.90]

Epoch 29:  52%|█████▏    | 14/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=73.90]

Epoch 29:  56%|█████▌    | 15/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=73.70, train_loss_epoch=73.90]

Epoch 29:  56%|█████▌    | 15/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  59%|█████▉    | 16/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  59%|█████▉    | 16/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.90]

Epoch 29:  63%|██████▎   | 17/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.90]

Epoch 29:  63%|██████▎   | 17/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  67%|██████▋   | 18/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  67%|██████▋   | 18/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.90]

Epoch 29:  70%|███████   | 19/27 [00:01<00:00, 15.58it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.90]

Epoch 29:  70%|███████   | 19/27 [00:01<00:00, 15.56it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:  74%|███████▍  | 20/27 [00:01<00:00, 15.75it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:  74%|███████▍  | 20/27 [00:01<00:00, 15.74it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  78%|███████▊  | 21/27 [00:01<00:00, 15.90it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  78%|███████▊  | 21/27 [00:01<00:00, 15.89it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.90]

Epoch 29:  81%|████████▏ | 22/27 [00:01<00:00, 16.12it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.90]

Epoch 29:  81%|████████▏ | 22/27 [00:01<00:00, 16.11it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.90]

Epoch 29:  85%|████████▌ | 23/27 [00:01<00:00, 16.33it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.90]

Epoch 29:  85%|████████▌ | 23/27 [00:01<00:00, 16.31it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  89%|████████▉ | 24/27 [00:01<00:00, 16.47it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.90]

Epoch 29:  89%|████████▉ | 24/27 [00:01<00:00, 16.46it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.90]

Epoch 29:  93%|█████████▎| 25/27 [00:01<00:00, 16.64it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.90]

Epoch 29:  93%|█████████▎| 25/27 [00:01<00:00, 16.63it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:  96%|█████████▋| 26/27 [00:01<00:00, 16.78it/s, v_num=0, train_loss_step=73.60, train_loss_epoch=73.90]

Epoch 29:  96%|█████████▋| 26/27 [00:01<00:00, 16.77it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.90]

Epoch 29: 100%|██████████| 27/27 [00:01<00:00, 16.97it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.90]

Epoch 29: 100%|██████████| 27/27 [00:01<00:00, 16.96it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.90]

Epoch 29: 100%|██████████| 27/27 [00:01<00:00, 16.94it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 29:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]         

Epoch 30:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:   4%|▎         | 1/27 [00:00<00:09,  2.78it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:   4%|▎         | 1/27 [00:00<00:09,  2.77it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.50]

Epoch 30:   7%|▋         | 2/27 [00:00<00:05,  4.78it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.50]

Epoch 30:   7%|▋         | 2/27 [00:00<00:05,  4.77it/s, v_num=0, train_loss_step=73.40, train_loss_epoch=73.50]

Epoch 30:  11%|█         | 3/27 [00:00<00:03,  6.30it/s, v_num=0, train_loss_step=73.40, train_loss_epoch=73.50]

Epoch 30:  11%|█         | 3/27 [00:00<00:03,  6.29it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.50]

Epoch 30:  15%|█▍        | 4/27 [00:00<00:03,  7.55it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.50]

Epoch 30:  15%|█▍        | 4/27 [00:00<00:03,  7.54it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.50]

Epoch 30:  19%|█▊        | 5/27 [00:00<00:02,  8.50it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.50]

Epoch 30:  19%|█▊        | 5/27 [00:00<00:02,  8.49it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  22%|██▏       | 6/27 [00:00<00:02,  9.14it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  22%|██▏       | 6/27 [00:00<00:02,  9.13it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.50]

Epoch 30:  26%|██▌       | 7/27 [00:00<00:02,  9.91it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.50]

Epoch 30:  26%|██▌       | 7/27 [00:00<00:02,  9.89it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  30%|██▉       | 8/27 [00:00<00:01, 10.55it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  30%|██▉       | 8/27 [00:00<00:01, 10.54it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.50]

Epoch 30:  33%|███▎      | 9/27 [00:00<00:01, 11.16it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.50]

Epoch 30:  33%|███▎      | 9/27 [00:00<00:01, 11.15it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  37%|███▋      | 10/27 [00:00<00:01, 11.63it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  37%|███▋      | 10/27 [00:00<00:01, 11.61it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.50]

Epoch 30:  41%|████      | 11/27 [00:00<00:01, 12.07it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.50]

Epoch 30:  41%|████      | 11/27 [00:00<00:01, 12.06it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.50]

Epoch 30:  44%|████▍     | 12/27 [00:00<00:01, 12.54it/s, v_num=0, train_loss_step=73.50, train_loss_epoch=73.50]

Epoch 30:  44%|████▍     | 12/27 [00:00<00:01, 12.52it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.50]

Epoch 30:  48%|████▊     | 13/27 [00:01<00:01, 12.91it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.50]

Epoch 30:  48%|████▊     | 13/27 [00:01<00:01, 12.90it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  52%|█████▏    | 14/27 [00:01<00:00, 13.24it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  52%|█████▏    | 14/27 [00:01<00:00, 13.23it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.50]

Epoch 30:  56%|█████▌    | 15/27 [00:01<00:00, 13.53it/s, v_num=0, train_loss_step=73.20, train_loss_epoch=73.50]

Epoch 30:  56%|█████▌    | 15/27 [00:01<00:00, 13.52it/s, v_num=0, train_loss_step=73.40, train_loss_epoch=73.50]

Epoch 30:  59%|█████▉    | 16/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=73.40, train_loss_epoch=73.50]

Epoch 30:  59%|█████▉    | 16/27 [00:01<00:00, 13.84it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.50]

Epoch 30:  63%|██████▎   | 17/27 [00:01<00:00, 14.10it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.50]

Epoch 30:  63%|██████▎   | 17/27 [00:01<00:00, 14.09it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  67%|██████▋   | 18/27 [00:01<00:00, 14.34it/s, v_num=0, train_loss_step=73.30, train_loss_epoch=73.50]

Epoch 30:  67%|██████▋   | 18/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.50]

Epoch 30:  70%|███████   | 19/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.50]

Epoch 30:  70%|███████   | 19/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.50]

Epoch 30:  74%|███████▍  | 20/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.50]

Epoch 30:  74%|███████▍  | 20/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.50]

Epoch 30:  78%|███████▊  | 21/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.50]

Epoch 30:  78%|███████▊  | 21/27 [00:01<00:00, 14.75it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.50]

Epoch 30:  81%|████████▏ | 22/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.50]

Epoch 30:  81%|████████▏ | 22/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.50]

Epoch 30:  85%|████████▌ | 23/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.50]

Epoch 30:  85%|████████▌ | 23/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.50]

Epoch 30:  89%|████████▉ | 24/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.50]

Epoch 30:  89%|████████▉ | 24/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.50]

Epoch 30:  93%|█████████▎| 25/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.50]

Epoch 30:  93%|█████████▎| 25/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.50]

Epoch 30:  96%|█████████▋| 26/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.50]

Epoch 30:  96%|█████████▋| 26/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.50]

Epoch 30: 100%|██████████| 27/27 [00:01<00:00, 15.45it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.50]

Epoch 30: 100%|██████████| 27/27 [00:01<00:00, 15.44it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.50]

Epoch 30: 100%|██████████| 27/27 [00:01<00:00, 15.43it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]

Epoch 30:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]         

Epoch 31:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]

Epoch 31:   4%|▎         | 1/27 [00:00<00:08,  2.99it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]

Epoch 31:   4%|▎         | 1/27 [00:00<00:08,  2.96it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]

Epoch 31:   7%|▋         | 2/27 [00:00<00:04,  5.30it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]

Epoch 31:   7%|▋         | 2/27 [00:00<00:04,  5.29it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.10]

Epoch 31:  11%|█         | 3/27 [00:00<00:03,  6.78it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.10]

Epoch 31:  11%|█         | 3/27 [00:00<00:03,  6.77it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=73.10]

Epoch 31:  15%|█▍        | 4/27 [00:00<00:02,  8.28it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=73.10]

Epoch 31:  15%|█▍        | 4/27 [00:00<00:02,  8.27it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.10]

Epoch 31:  19%|█▊        | 5/27 [00:00<00:02,  9.48it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.10]

Epoch 31:  19%|█▊        | 5/27 [00:00<00:02,  9.47it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]

Epoch 31:  22%|██▏       | 6/27 [00:00<00:02, 10.48it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]

Epoch 31:  22%|██▏       | 6/27 [00:00<00:02, 10.47it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.10]

Epoch 31:  26%|██▌       | 7/27 [00:00<00:01, 11.05it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.10]

Epoch 31:  26%|██▌       | 7/27 [00:00<00:01, 11.03it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=73.10]

Epoch 31:  30%|██▉       | 8/27 [00:00<00:01, 11.70it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=73.10]

Epoch 31:  30%|██▉       | 8/27 [00:00<00:01, 11.69it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.10]

Epoch 31:  33%|███▎      | 9/27 [00:00<00:01, 12.32it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.10]

Epoch 31:  33%|███▎      | 9/27 [00:00<00:01, 12.31it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.10]

Epoch 31:  37%|███▋      | 10/27 [00:00<00:01, 12.93it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.10]

Epoch 31:  37%|███▋      | 10/27 [00:00<00:01, 12.91it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=73.10]

Epoch 31:  41%|████      | 11/27 [00:00<00:01, 13.16it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=73.10]

Epoch 31:  41%|████      | 11/27 [00:00<00:01, 13.15it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.10]

Epoch 31:  44%|████▍     | 12/27 [00:00<00:01, 13.62it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=73.10]

Epoch 31:  44%|████▍     | 12/27 [00:00<00:01, 13.60it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.10]

Epoch 31:  48%|████▊     | 13/27 [00:00<00:01, 13.97it/s, v_num=0, train_loss_step=72.90, train_loss_epoch=73.10]

Epoch 31:  48%|████▊     | 13/27 [00:00<00:01, 13.95it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=73.10]

Epoch 31:  52%|█████▏    | 14/27 [00:00<00:00, 14.32it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=73.10]

Epoch 31:  52%|█████▏    | 14/27 [00:00<00:00, 14.30it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.10]

Epoch 31:  56%|█████▌    | 15/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.10]

Epoch 31:  56%|█████▌    | 15/27 [00:01<00:00, 14.71it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=73.10]

Epoch 31:  59%|█████▉    | 16/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=73.10]

Epoch 31:  59%|█████▉    | 16/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.10]

Epoch 31:  63%|██████▎   | 17/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=73.00, train_loss_epoch=73.10]

Epoch 31:  63%|██████▎   | 17/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=73.10]

Epoch 31:  67%|██████▋   | 18/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=73.10]

Epoch 31:  67%|██████▋   | 18/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=73.10]

Epoch 31:  70%|███████   | 19/27 [00:01<00:00, 15.60it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=73.10]

Epoch 31:  70%|███████   | 19/27 [00:01<00:00, 15.59it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]

Epoch 31:  74%|███████▍  | 20/27 [00:01<00:00, 15.74it/s, v_num=0, train_loss_step=73.10, train_loss_epoch=73.10]

Epoch 31:  74%|███████▍  | 20/27 [00:01<00:00, 15.73it/s, v_num=0, train_loss_step=72.30, train_loss_epoch=73.10]

Epoch 31:  78%|███████▊  | 21/27 [00:01<00:00, 15.97it/s, v_num=0, train_loss_step=72.30, train_loss_epoch=73.10]

Epoch 31:  78%|███████▊  | 21/27 [00:01<00:00, 15.96it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=73.10]

Epoch 31:  81%|████████▏ | 22/27 [00:01<00:00, 16.08it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=73.10]

Epoch 31:  81%|████████▏ | 22/27 [00:01<00:00, 16.06it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=73.10]

Epoch 31:  85%|████████▌ | 23/27 [00:01<00:00, 16.06it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=73.10]

Epoch 31:  85%|████████▌ | 23/27 [00:01<00:00, 16.05it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=73.10]

Epoch 31:  89%|████████▉ | 24/27 [00:01<00:00, 16.18it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=73.10]

Epoch 31:  89%|████████▉ | 24/27 [00:01<00:00, 16.17it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=73.10]

Epoch 31:  93%|█████████▎| 25/27 [00:01<00:00, 16.30it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=73.10]

Epoch 31:  93%|█████████▎| 25/27 [00:01<00:00, 16.30it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=73.10]

Epoch 31:  96%|█████████▋| 26/27 [00:01<00:00, 16.35it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=73.10]

Epoch 31:  96%|█████████▋| 26/27 [00:01<00:00, 16.34it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=73.10]

Epoch 31: 100%|██████████| 27/27 [00:01<00:00, 16.55it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=73.10]

Epoch 31: 100%|██████████| 27/27 [00:01<00:00, 16.55it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=73.10]

Epoch 31: 100%|██████████| 27/27 [00:01<00:00, 16.53it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]

Epoch 31:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]         

Epoch 32:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]

Epoch 32:   4%|▎         | 1/27 [00:00<00:08,  2.99it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]

Epoch 32:   4%|▎         | 1/27 [00:00<00:08,  2.96it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=72.70]

Epoch 32:   7%|▋         | 2/27 [00:00<00:05,  4.93it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=72.70]

Epoch 32:   7%|▋         | 2/27 [00:00<00:05,  4.92it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]

Epoch 32:  11%|█         | 3/27 [00:00<00:03,  6.37it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]

Epoch 32:  11%|█         | 3/27 [00:00<00:03,  6.35it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=72.70]

Epoch 32:  15%|█▍        | 4/27 [00:00<00:03,  7.58it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=72.70]

Epoch 32:  15%|█▍        | 4/27 [00:00<00:03,  7.56it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=72.70]

Epoch 32:  19%|█▊        | 5/27 [00:00<00:02,  8.42it/s, v_num=0, train_loss_step=72.60, train_loss_epoch=72.70]

Epoch 32:  19%|█▊        | 5/27 [00:00<00:02,  8.41it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.70]

Epoch 32:  22%|██▏       | 6/27 [00:00<00:02,  9.17it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.70]

Epoch 32:  22%|██▏       | 6/27 [00:00<00:02,  9.16it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  26%|██▌       | 7/27 [00:00<00:02,  9.94it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  26%|██▌       | 7/27 [00:00<00:02,  9.92it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=72.70]

Epoch 32:  30%|██▉       | 8/27 [00:00<00:01, 10.51it/s, v_num=0, train_loss_step=72.80, train_loss_epoch=72.70]

Epoch 32:  30%|██▉       | 8/27 [00:00<00:01, 10.49it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=72.70]

Epoch 32:  33%|███▎      | 9/27 [00:00<00:01, 11.06it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=72.70]

Epoch 32:  33%|███▎      | 9/27 [00:00<00:01, 11.04it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=72.70]

Epoch 32:  37%|███▋      | 10/27 [00:00<00:01, 11.56it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=72.70]

Epoch 32:  37%|███▋      | 10/27 [00:00<00:01, 11.55it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]

Epoch 32:  41%|████      | 11/27 [00:00<00:01, 12.12it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]

Epoch 32:  41%|████      | 11/27 [00:00<00:01, 12.10it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=72.70]

Epoch 32:  44%|████▍     | 12/27 [00:00<00:01, 12.62it/s, v_num=0, train_loss_step=72.70, train_loss_epoch=72.70]

Epoch 32:  44%|████▍     | 12/27 [00:00<00:01, 12.61it/s, v_num=0, train_loss_step=72.30, train_loss_epoch=72.70]

Epoch 32:  48%|████▊     | 13/27 [00:00<00:01, 13.04it/s, v_num=0, train_loss_step=72.30, train_loss_epoch=72.70]

Epoch 32:  48%|████▊     | 13/27 [00:00<00:01, 13.03it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]

Epoch 32:  52%|█████▏    | 14/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=72.50, train_loss_epoch=72.70]

Epoch 32:  52%|█████▏    | 14/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.70]

Epoch 32:  56%|█████▌    | 15/27 [00:01<00:00, 13.67it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.70]

Epoch 32:  56%|█████▌    | 15/27 [00:01<00:00, 13.66it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=72.70]

Epoch 32:  59%|█████▉    | 16/27 [00:01<00:00, 14.01it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=72.70]

Epoch 32:  59%|█████▉    | 16/27 [00:01<00:00, 14.00it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  63%|██████▎   | 17/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  63%|██████▎   | 17/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.70]

Epoch 32:  67%|██████▋   | 18/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.70]

Epoch 32:  67%|██████▋   | 18/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=72.70]

Epoch 32:  70%|███████   | 19/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=72.70]

Epoch 32:  70%|███████   | 19/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=72.70]

Epoch 32:  74%|███████▍  | 20/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=72.40, train_loss_epoch=72.70]

Epoch 32:  74%|███████▍  | 20/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  78%|███████▊  | 21/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  78%|███████▊  | 21/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  81%|████████▏ | 22/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  81%|████████▏ | 22/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.70]

Epoch 32:  85%|████████▌ | 23/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.70]

Epoch 32:  85%|████████▌ | 23/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=72.70]

Epoch 32:  89%|████████▉ | 24/27 [00:01<00:00, 15.60it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=72.70]

Epoch 32:  89%|████████▉ | 24/27 [00:01<00:00, 15.60it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  93%|█████████▎| 25/27 [00:01<00:00, 15.69it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.70]

Epoch 32:  93%|█████████▎| 25/27 [00:01<00:00, 15.68it/s, v_num=0, train_loss_step=72.30, train_loss_epoch=72.70]

Epoch 32:  96%|█████████▋| 26/27 [00:01<00:00, 15.83it/s, v_num=0, train_loss_step=72.30, train_loss_epoch=72.70]

Epoch 32:  96%|█████████▋| 26/27 [00:01<00:00, 15.82it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=72.70]

Epoch 32: 100%|██████████| 27/27 [00:01<00:00, 15.99it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=72.70]

Epoch 32: 100%|██████████| 27/27 [00:01<00:00, 15.98it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.70]

Epoch 32: 100%|██████████| 27/27 [00:01<00:00, 15.96it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 32:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]         

Epoch 33:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33:   4%|▎         | 1/27 [00:00<00:09,  2.82it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33:   4%|▎         | 1/27 [00:00<00:09,  2.80it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:   7%|▋         | 2/27 [00:00<00:05,  4.74it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:   7%|▋         | 2/27 [00:00<00:05,  4.73it/s, v_num=0, train_loss_step=72.30, train_loss_epoch=72.30]

Epoch 33:  11%|█         | 3/27 [00:00<00:03,  6.30it/s, v_num=0, train_loss_step=72.30, train_loss_epoch=72.30]

Epoch 33:  11%|█         | 3/27 [00:00<00:03,  6.28it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=72.30]

Epoch 33:  15%|█▍        | 4/27 [00:00<00:03,  7.48it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=72.30]

Epoch 33:  15%|█▍        | 4/27 [00:00<00:03,  7.47it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  19%|█▊        | 5/27 [00:00<00:02,  8.36it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  19%|█▊        | 5/27 [00:00<00:02,  8.35it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  22%|██▏       | 6/27 [00:00<00:02,  9.31it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  22%|██▏       | 6/27 [00:00<00:02,  9.30it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  26%|██▌       | 7/27 [00:00<00:01, 10.13it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  26%|██▌       | 7/27 [00:00<00:01, 10.11it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33:  30%|██▉       | 8/27 [00:00<00:01, 10.79it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33:  30%|██▉       | 8/27 [00:00<00:01, 10.78it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  33%|███▎      | 9/27 [00:00<00:01, 11.40it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  33%|███▎      | 9/27 [00:00<00:01, 11.39it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=72.30]

Epoch 33:  37%|███▋      | 10/27 [00:00<00:01, 11.95it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=72.30]

Epoch 33:  37%|███▋      | 10/27 [00:00<00:01, 11.94it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.30]

Epoch 33:  41%|████      | 11/27 [00:00<00:01, 12.44it/s, v_num=0, train_loss_step=72.10, train_loss_epoch=72.30]

Epoch 33:  41%|████      | 11/27 [00:00<00:01, 12.42it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33:  44%|████▍     | 12/27 [00:00<00:01, 12.93it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33:  44%|████▍     | 12/27 [00:00<00:01, 12.92it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  48%|████▊     | 13/27 [00:00<00:01, 13.26it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  48%|████▊     | 13/27 [00:00<00:01, 13.25it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33:  52%|█████▏    | 14/27 [00:01<00:00, 13.59it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33:  52%|█████▏    | 14/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=71.60, train_loss_epoch=72.30]

Epoch 33:  56%|█████▌    | 15/27 [00:01<00:00, 13.91it/s, v_num=0, train_loss_step=71.60, train_loss_epoch=72.30]

Epoch 33:  56%|█████▌    | 15/27 [00:01<00:00, 13.90it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  59%|█████▉    | 16/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  59%|█████▉    | 16/27 [00:01<00:00, 14.14it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=72.30]

Epoch 33:  63%|██████▎   | 17/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=72.30]

Epoch 33:  63%|██████▎   | 17/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  67%|██████▋   | 18/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  67%|██████▋   | 18/27 [00:01<00:00, 14.59it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=72.30]

Epoch 33:  70%|███████   | 19/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=72.30]

Epoch 33:  70%|███████   | 19/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=72.30]

Epoch 33:  74%|███████▍  | 20/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=72.30]

Epoch 33:  74%|███████▍  | 20/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=71.50, train_loss_epoch=72.30]

Epoch 33:  78%|███████▊  | 21/27 [00:01<00:00, 15.08it/s, v_num=0, train_loss_step=71.50, train_loss_epoch=72.30]

Epoch 33:  78%|███████▊  | 21/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  81%|████████▏ | 22/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  81%|████████▏ | 22/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  85%|████████▌ | 23/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  85%|████████▌ | 23/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  89%|████████▉ | 24/27 [00:01<00:00, 15.41it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  89%|████████▉ | 24/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  93%|█████████▎| 25/27 [00:01<00:00, 15.53it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=72.30]

Epoch 33:  93%|█████████▎| 25/27 [00:01<00:00, 15.52it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  96%|█████████▋| 26/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=72.20, train_loss_epoch=72.30]

Epoch 33:  96%|█████████▋| 26/27 [00:01<00:00, 15.64it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33: 100%|██████████| 27/27 [00:01<00:00, 15.85it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=72.30]

Epoch 33: 100%|██████████| 27/27 [00:01<00:00, 15.84it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=72.30]

Epoch 33: 100%|██████████| 27/27 [00:01<00:00, 15.82it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.90]

Epoch 33:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.90]         

Epoch 34:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.90]

Epoch 34:   4%|▎         | 1/27 [00:00<00:08,  2.97it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.90]

Epoch 34:   4%|▎         | 1/27 [00:00<00:08,  2.95it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:   7%|▋         | 2/27 [00:00<00:05,  4.82it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:   7%|▋         | 2/27 [00:00<00:05,  4.81it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  11%|█         | 3/27 [00:00<00:03,  6.29it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  11%|█         | 3/27 [00:00<00:03,  6.28it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.90]

Epoch 34:  15%|█▍        | 4/27 [00:00<00:03,  7.55it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.90]

Epoch 34:  15%|█▍        | 4/27 [00:00<00:03,  7.54it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.90]

Epoch 34:  19%|█▊        | 5/27 [00:00<00:02,  8.67it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.90]

Epoch 34:  19%|█▊        | 5/27 [00:00<00:02,  8.65it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=71.90]

Epoch 34:  22%|██▏       | 6/27 [00:00<00:02,  9.47it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=71.90]

Epoch 34:  22%|██▏       | 6/27 [00:00<00:02,  9.46it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=71.90]

Epoch 34:  26%|██▌       | 7/27 [00:00<00:01, 10.07it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=71.90]

Epoch 34:  26%|██▌       | 7/27 [00:00<00:01, 10.05it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  30%|██▉       | 8/27 [00:00<00:01, 10.42it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  30%|██▉       | 8/27 [00:00<00:01, 10.41it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  33%|███▎      | 9/27 [00:00<00:01, 10.86it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  33%|███▎      | 9/27 [00:00<00:01, 10.85it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=71.90]

Epoch 34:  37%|███▋      | 10/27 [00:00<00:01, 11.24it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=71.90]

Epoch 34:  37%|███▋      | 10/27 [00:00<00:01, 11.23it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=71.90]

Epoch 34:  41%|████      | 11/27 [00:00<00:01, 11.67it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=71.90]

Epoch 34:  41%|████      | 11/27 [00:00<00:01, 11.66it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.90]

Epoch 34:  44%|████▍     | 12/27 [00:00<00:01, 12.07it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.90]

Epoch 34:  44%|████▍     | 12/27 [00:00<00:01, 12.06it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  48%|████▊     | 13/27 [00:01<00:01, 12.46it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  48%|████▊     | 13/27 [00:01<00:01, 12.45it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.90]

Epoch 34:  52%|█████▏    | 14/27 [00:01<00:01, 12.81it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.90]

Epoch 34:  52%|█████▏    | 14/27 [00:01<00:01, 12.80it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.90]

Epoch 34:  56%|█████▌    | 15/27 [00:01<00:00, 13.07it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.90]

Epoch 34:  56%|█████▌    | 15/27 [00:01<00:00, 13.05it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  59%|█████▉    | 16/27 [00:01<00:00, 13.39it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  59%|█████▉    | 16/27 [00:01<00:00, 13.37it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=71.90]

Epoch 34:  63%|██████▎   | 17/27 [00:01<00:00, 13.64it/s, v_num=0, train_loss_step=71.90, train_loss_epoch=71.90]

Epoch 34:  63%|██████▎   | 17/27 [00:01<00:00, 13.63it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=71.90]

Epoch 34:  67%|██████▋   | 18/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=71.90]

Epoch 34:  67%|██████▋   | 18/27 [00:01<00:00, 13.87it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.90]

Epoch 34:  70%|███████   | 19/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.90]

Epoch 34:  70%|███████   | 19/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.90]

Epoch 34:  74%|███████▍  | 20/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.90]

Epoch 34:  74%|███████▍  | 20/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=71.90]

Epoch 34:  78%|███████▊  | 21/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=72.00, train_loss_epoch=71.90]

Epoch 34:  78%|███████▊  | 21/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  81%|████████▏ | 22/27 [00:01<00:00, 14.59it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.90]

Epoch 34:  81%|████████▏ | 22/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.90]

Epoch 34:  85%|████████▌ | 23/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.90]

Epoch 34:  85%|████████▌ | 23/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.90]

Epoch 34:  89%|████████▉ | 24/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.90]

Epoch 34:  89%|████████▉ | 24/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=71.50, train_loss_epoch=71.90]

Epoch 34:  93%|█████████▎| 25/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=71.50, train_loss_epoch=71.90]

Epoch 34:  93%|█████████▎| 25/27 [00:01<00:00, 14.96it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.90]

Epoch 34:  96%|█████████▋| 26/27 [00:01<00:00, 15.08it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.90]

Epoch 34:  96%|█████████▋| 26/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.90]

Epoch 34: 100%|██████████| 27/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.90]

Epoch 34: 100%|██████████| 27/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.90]

Epoch 34: 100%|██████████| 27/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.50]

Epoch 34:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.50]         

Epoch 35:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.50]

Epoch 35:   4%|▎         | 1/27 [00:00<00:08,  2.91it/s, v_num=0, train_loss_step=71.80, train_loss_epoch=71.50]

Epoch 35:   4%|▎         | 1/27 [00:00<00:08,  2.89it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.50]

Epoch 35:   7%|▋         | 2/27 [00:00<00:05,  4.99it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.50]

Epoch 35:   7%|▋         | 2/27 [00:00<00:05,  4.97it/s, v_num=0, train_loss_step=71.60, train_loss_epoch=71.50]

Epoch 35:  11%|█         | 3/27 [00:00<00:03,  6.60it/s, v_num=0, train_loss_step=71.60, train_loss_epoch=71.50]

Epoch 35:  11%|█         | 3/27 [00:00<00:03,  6.59it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.50]

Epoch 35:  15%|█▍        | 4/27 [00:00<00:02,  7.85it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.50]

Epoch 35:  15%|█▍        | 4/27 [00:00<00:02,  7.83it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=71.50]

Epoch 35:  19%|█▊        | 5/27 [00:00<00:02,  8.74it/s, v_num=0, train_loss_step=71.70, train_loss_epoch=71.50]

Epoch 35:  19%|█▊        | 5/27 [00:00<00:02,  8.73it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35:  22%|██▏       | 6/27 [00:00<00:02,  9.47it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35:  22%|██▏       | 6/27 [00:00<00:02,  9.46it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.50]

Epoch 35:  26%|██▌       | 7/27 [00:00<00:01, 10.12it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.50]

Epoch 35:  26%|██▌       | 7/27 [00:00<00:01, 10.11it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  30%|██▉       | 8/27 [00:00<00:01, 10.71it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  30%|██▉       | 8/27 [00:00<00:01, 10.70it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.50]

Epoch 35:  33%|███▎      | 9/27 [00:00<00:01, 11.23it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.50]

Epoch 35:  33%|███▎      | 9/27 [00:00<00:01, 11.22it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35:  37%|███▋      | 10/27 [00:00<00:01, 11.75it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35:  37%|███▋      | 10/27 [00:00<00:01, 11.74it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.50]

Epoch 35:  41%|████      | 11/27 [00:00<00:01, 12.17it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.50]

Epoch 35:  41%|████      | 11/27 [00:00<00:01, 12.15it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=71.50]

Epoch 35:  44%|████▍     | 12/27 [00:00<00:01, 12.59it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=71.50]

Epoch 35:  44%|████▍     | 12/27 [00:00<00:01, 12.57it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  48%|████▊     | 13/27 [00:01<00:01, 12.99it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  48%|████▊     | 13/27 [00:01<00:01, 12.98it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35:  52%|█████▏    | 14/27 [00:01<00:00, 13.15it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35:  52%|█████▏    | 14/27 [00:01<00:00, 13.14it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35:  56%|█████▌    | 15/27 [00:01<00:00, 13.41it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35:  56%|█████▌    | 15/27 [00:01<00:00, 13.40it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.50]

Epoch 35:  59%|█████▉    | 16/27 [00:01<00:00, 13.70it/s, v_num=0, train_loss_step=71.30, train_loss_epoch=71.50]

Epoch 35:  59%|█████▉    | 16/27 [00:01<00:00, 13.68it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.50]

Epoch 35:  63%|██████▎   | 17/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.50]

Epoch 35:  63%|██████▎   | 17/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  67%|██████▋   | 18/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  67%|██████▋   | 18/27 [00:01<00:00, 14.16it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  70%|███████   | 19/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  70%|███████   | 19/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  74%|███████▍  | 20/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.50]

Epoch 35:  74%|███████▍  | 20/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=70.80, train_loss_epoch=71.50]

Epoch 35:  78%|███████▊  | 21/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=70.80, train_loss_epoch=71.50]

Epoch 35:  78%|███████▊  | 21/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.50]

Epoch 35:  81%|████████▏ | 22/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.50]

Epoch 35:  81%|████████▏ | 22/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.50]

Epoch 35:  85%|████████▌ | 23/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.50]

Epoch 35:  85%|████████▌ | 23/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=71.50]

Epoch 35:  89%|████████▉ | 24/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=71.50]

Epoch 35:  89%|████████▉ | 24/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.50]

Epoch 35:  93%|█████████▎| 25/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=71.40, train_loss_epoch=71.50]

Epoch 35:  93%|█████████▎| 25/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.50]

Epoch 35:  96%|█████████▋| 26/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.50]

Epoch 35:  96%|█████████▋| 26/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35: 100%|██████████| 27/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.50]

Epoch 35: 100%|██████████| 27/27 [00:01<00:00, 15.41it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.50]

Epoch 35: 100%|██████████| 27/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 35:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]         

Epoch 36:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:   4%|▎         | 1/27 [00:00<00:09,  2.88it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.10]

Epoch 36:   7%|▋         | 2/27 [00:00<00:05,  5.00it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.10]

Epoch 36:   7%|▋         | 2/27 [00:00<00:05,  4.98it/s, v_num=0, train_loss_step=70.60, train_loss_epoch=71.10]

Epoch 36:  11%|█         | 3/27 [00:00<00:03,  6.66it/s, v_num=0, train_loss_step=70.60, train_loss_epoch=71.10]

Epoch 36:  11%|█         | 3/27 [00:00<00:03,  6.65it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.10]

Epoch 36:  15%|█▍        | 4/27 [00:00<00:02,  7.93it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.10]

Epoch 36:  15%|█▍        | 4/27 [00:00<00:02,  7.91it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=71.10]

Epoch 36:  19%|█▊        | 5/27 [00:00<00:02,  8.96it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=71.10]

Epoch 36:  19%|█▊        | 5/27 [00:00<00:02,  8.95it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.10]

Epoch 36:  22%|██▏       | 6/27 [00:00<00:02,  9.83it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.10]

Epoch 36:  22%|██▏       | 6/27 [00:00<00:02,  9.81it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.10]

Epoch 36:  26%|██▌       | 7/27 [00:00<00:01, 10.47it/s, v_num=0, train_loss_step=71.20, train_loss_epoch=71.10]

Epoch 36:  26%|██▌       | 7/27 [00:00<00:01, 10.46it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.10]

Epoch 36:  30%|██▉       | 8/27 [00:00<00:01, 11.03it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.10]

Epoch 36:  30%|██▉       | 8/27 [00:00<00:01, 11.01it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.10]

Epoch 36:  33%|███▎      | 9/27 [00:00<00:01, 11.55it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.10]

Epoch 36:  33%|███▎      | 9/27 [00:00<00:01, 11.54it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.10]

Epoch 36:  37%|███▋      | 10/27 [00:00<00:01, 12.02it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.10]

Epoch 36:  37%|███▋      | 10/27 [00:00<00:01, 12.01it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.10]

Epoch 36:  41%|████      | 11/27 [00:00<00:01, 12.46it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.10]

Epoch 36:  41%|████      | 11/27 [00:00<00:01, 12.45it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=71.10]

Epoch 36:  44%|████▍     | 12/27 [00:00<00:01, 12.92it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=71.10]

Epoch 36:  44%|████▍     | 12/27 [00:00<00:01, 12.91it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.10]

Epoch 36:  48%|████▊     | 13/27 [00:00<00:01, 13.32it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.10]

Epoch 36:  48%|████▊     | 13/27 [00:00<00:01, 13.31it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.10]

Epoch 36:  52%|█████▏    | 14/27 [00:01<00:00, 13.63it/s, v_num=0, train_loss_step=71.10, train_loss_epoch=71.10]

Epoch 36:  52%|█████▏    | 14/27 [00:01<00:00, 13.61it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=71.10]

Epoch 36:  56%|█████▌    | 15/27 [00:01<00:00, 13.94it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=71.10]

Epoch 36:  56%|█████▌    | 15/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:  59%|█████▉    | 16/27 [00:01<00:00, 14.21it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:  59%|█████▉    | 16/27 [00:01<00:00, 14.19it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.10]

Epoch 36:  63%|██████▎   | 17/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=71.00, train_loss_epoch=71.10]

Epoch 36:  63%|██████▎   | 17/27 [00:01<00:00, 14.43it/s, v_num=0, train_loss_step=70.60, train_loss_epoch=71.10]

Epoch 36:  67%|██████▋   | 18/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=70.60, train_loss_epoch=71.10]

Epoch 36:  67%|██████▋   | 18/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.10]

Epoch 36:  70%|███████   | 19/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.10]

Epoch 36:  70%|███████   | 19/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:  74%|███████▍  | 20/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:  74%|███████▍  | 20/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.10]

Epoch 36:  78%|███████▊  | 21/27 [00:01<00:00, 15.19it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=71.10]

Epoch 36:  78%|███████▊  | 21/27 [00:01<00:00, 15.18it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=71.10]

Epoch 36:  81%|████████▏ | 22/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=71.10]

Epoch 36:  81%|████████▏ | 22/27 [00:01<00:00, 15.32it/s, v_num=0, train_loss_step=70.60, train_loss_epoch=71.10]

Epoch 36:  85%|████████▌ | 23/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=70.60, train_loss_epoch=71.10]

Epoch 36:  85%|████████▌ | 23/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=71.10]

Epoch 36:  89%|████████▉ | 24/27 [00:01<00:00, 15.68it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=71.10]

Epoch 36:  89%|████████▉ | 24/27 [00:01<00:00, 15.68it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:  93%|█████████▎| 25/27 [00:01<00:00, 15.86it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:  93%|█████████▎| 25/27 [00:01<00:00, 15.85it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:  96%|█████████▋| 26/27 [00:01<00:00, 15.97it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36:  96%|█████████▋| 26/27 [00:01<00:00, 15.96it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36: 100%|██████████| 27/27 [00:01<00:00, 16.24it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=71.10]

Epoch 36: 100%|██████████| 27/27 [00:01<00:00, 16.23it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=71.10]

Epoch 36: 100%|██████████| 27/27 [00:01<00:00, 16.21it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 36:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]         

Epoch 37:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:   4%|▎         | 1/27 [00:00<00:09,  2.85it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:   4%|▎         | 1/27 [00:00<00:09,  2.83it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:   7%|▋         | 2/27 [00:00<00:05,  4.91it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:   7%|▋         | 2/27 [00:00<00:05,  4.89it/s, v_num=0, train_loss_step=70.80, train_loss_epoch=70.80]

Epoch 37:  11%|█         | 3/27 [00:00<00:03,  6.54it/s, v_num=0, train_loss_step=70.80, train_loss_epoch=70.80]

Epoch 37:  11%|█         | 3/27 [00:00<00:03,  6.53it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=70.80]

Epoch 37:  15%|█▍        | 4/27 [00:00<00:02,  7.72it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=70.80]

Epoch 37:  15%|█▍        | 4/27 [00:00<00:02,  7.71it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=70.80]

Epoch 37:  19%|█▊        | 5/27 [00:00<00:02,  8.78it/s, v_num=0, train_loss_step=70.90, train_loss_epoch=70.80]

Epoch 37:  19%|█▊        | 5/27 [00:00<00:02,  8.77it/s, v_num=0, train_loss_step=70.80, train_loss_epoch=70.80]

Epoch 37:  22%|██▏       | 6/27 [00:00<00:02,  9.61it/s, v_num=0, train_loss_step=70.80, train_loss_epoch=70.80]

Epoch 37:  22%|██▏       | 6/27 [00:00<00:02,  9.59it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  26%|██▌       | 7/27 [00:00<00:01, 10.33it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  26%|██▌       | 7/27 [00:00<00:01, 10.32it/s, v_num=0, train_loss_step=70.20, train_loss_epoch=70.80]

Epoch 37:  30%|██▉       | 8/27 [00:00<00:01, 10.87it/s, v_num=0, train_loss_step=70.20, train_loss_epoch=70.80]

Epoch 37:  30%|██▉       | 8/27 [00:00<00:01, 10.86it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  33%|███▎      | 9/27 [00:00<00:01, 11.45it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  33%|███▎      | 9/27 [00:00<00:01, 11.44it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  37%|███▋      | 10/27 [00:00<00:01, 11.91it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  37%|███▋      | 10/27 [00:00<00:01, 11.89it/s, v_num=0, train_loss_step=70.20, train_loss_epoch=70.80]

Epoch 37:  41%|████      | 11/27 [00:00<00:01, 12.33it/s, v_num=0, train_loss_step=70.20, train_loss_epoch=70.80]

Epoch 37:  41%|████      | 11/27 [00:00<00:01, 12.32it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  44%|████▍     | 12/27 [00:00<00:01, 12.77it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  44%|████▍     | 12/27 [00:00<00:01, 12.76it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  48%|████▊     | 13/27 [00:00<00:01, 13.20it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  48%|████▊     | 13/27 [00:00<00:01, 13.18it/s, v_num=0, train_loss_step=70.80, train_loss_epoch=70.80]

Epoch 37:  52%|█████▏    | 14/27 [00:01<00:00, 13.53it/s, v_num=0, train_loss_step=70.80, train_loss_epoch=70.80]

Epoch 37:  52%|█████▏    | 14/27 [00:01<00:00, 13.52it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  56%|█████▌    | 15/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  56%|█████▌    | 15/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  59%|█████▉    | 16/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.80]

Epoch 37:  59%|█████▉    | 16/27 [00:01<00:00, 14.14it/s, v_num=0, train_loss_step=70.60, train_loss_epoch=70.80]

Epoch 37:  63%|██████▎   | 17/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=70.60, train_loss_epoch=70.80]

Epoch 37:  63%|██████▎   | 17/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.80]

Epoch 37:  67%|██████▋   | 18/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.80]

Epoch 37:  67%|██████▋   | 18/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.80]

Epoch 37:  70%|███████   | 19/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.80]

Epoch 37:  70%|███████   | 19/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=70.80]

Epoch 37:  74%|███████▍  | 20/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=70.70, train_loss_epoch=70.80]

Epoch 37:  74%|███████▍  | 20/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  78%|███████▊  | 21/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  78%|███████▊  | 21/27 [00:01<00:00, 14.96it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  81%|████████▏ | 22/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  81%|████████▏ | 22/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.80]

Epoch 37:  85%|████████▌ | 23/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.80]

Epoch 37:  85%|████████▌ | 23/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  89%|████████▉ | 24/27 [00:01<00:00, 15.46it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37:  89%|████████▉ | 24/27 [00:01<00:00, 15.45it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.80]

Epoch 37:  93%|█████████▎| 25/27 [00:01<00:00, 15.61it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.80]

Epoch 37:  93%|█████████▎| 25/27 [00:01<00:00, 15.60it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.80]

Epoch 37:  96%|█████████▋| 26/27 [00:01<00:00, 15.74it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.80]

Epoch 37:  96%|█████████▋| 26/27 [00:01<00:00, 15.74it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37: 100%|██████████| 27/27 [00:01<00:00, 15.96it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.80]

Epoch 37: 100%|██████████| 27/27 [00:01<00:00, 15.95it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.80]

Epoch 37: 100%|██████████| 27/27 [00:01<00:00, 15.94it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]

Epoch 37:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]         

Epoch 38:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]

Epoch 38:   4%|▎         | 1/27 [00:00<00:09,  2.80it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]

Epoch 38:   4%|▎         | 1/27 [00:00<00:09,  2.78it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:   7%|▋         | 2/27 [00:00<00:05,  4.87it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:   7%|▋         | 2/27 [00:00<00:05,  4.86it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.40]

Epoch 38:  11%|█         | 3/27 [00:00<00:03,  6.46it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.40]

Epoch 38:  11%|█         | 3/27 [00:00<00:03,  6.45it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=70.40]

Epoch 38:  15%|█▍        | 4/27 [00:00<00:03,  7.64it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=70.40]

Epoch 38:  15%|█▍        | 4/27 [00:00<00:03,  7.63it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.40]

Epoch 38:  19%|█▊        | 5/27 [00:00<00:02,  8.70it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.40]

Epoch 38:  19%|█▊        | 5/27 [00:00<00:02,  8.68it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]

Epoch 38:  22%|██▏       | 6/27 [00:00<00:02,  9.51it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]

Epoch 38:  22%|██▏       | 6/27 [00:00<00:02,  9.50it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:  26%|██▌       | 7/27 [00:00<00:01, 10.12it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:  26%|██▌       | 7/27 [00:00<00:01, 10.11it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=70.40]

Epoch 38:  30%|██▉       | 8/27 [00:00<00:01, 10.73it/s, v_num=0, train_loss_step=70.50, train_loss_epoch=70.40]

Epoch 38:  30%|██▉       | 8/27 [00:00<00:01, 10.72it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.40]

Epoch 38:  33%|███▎      | 9/27 [00:00<00:01, 11.36it/s, v_num=0, train_loss_step=70.30, train_loss_epoch=70.40]

Epoch 38:  33%|███▎      | 9/27 [00:00<00:01, 11.35it/s, v_num=0, train_loss_step=70.20, train_loss_epoch=70.40]

Epoch 38:  37%|███▋      | 10/27 [00:00<00:01, 11.91it/s, v_num=0, train_loss_step=70.20, train_loss_epoch=70.40]

Epoch 38:  37%|███▋      | 10/27 [00:00<00:01, 11.89it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.40]

Epoch 38:  41%|████      | 11/27 [00:00<00:01, 12.31it/s, v_num=0, train_loss_step=70.40, train_loss_epoch=70.40]

Epoch 38:  41%|████      | 11/27 [00:00<00:01, 12.29it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.40]

Epoch 38:  44%|████▍     | 12/27 [00:00<00:01, 12.73it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.40]

Epoch 38:  44%|████▍     | 12/27 [00:00<00:01, 12.71it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  48%|████▊     | 13/27 [00:00<00:01, 13.10it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  48%|████▊     | 13/27 [00:00<00:01, 13.09it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]

Epoch 38:  52%|█████▏    | 14/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]

Epoch 38:  52%|█████▏    | 14/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  56%|█████▌    | 15/27 [00:01<00:00, 13.76it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  56%|█████▌    | 15/27 [00:01<00:00, 13.75it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]

Epoch 38:  59%|█████▉    | 16/27 [00:01<00:00, 13.97it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.40]

Epoch 38:  59%|█████▉    | 16/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=70.40]

Epoch 38:  63%|██████▎   | 17/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=70.40]

Epoch 38:  63%|██████▎   | 17/27 [00:01<00:00, 14.20it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  67%|██████▋   | 18/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  67%|██████▋   | 18/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  70%|███████   | 19/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  70%|███████   | 19/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  74%|███████▍  | 20/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  74%|███████▍  | 20/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:  78%|███████▊  | 21/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:  78%|███████▊  | 21/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:  81%|████████▏ | 22/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:  81%|████████▏ | 22/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  85%|████████▌ | 23/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.40]

Epoch 38:  85%|████████▌ | 23/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=70.20, train_loss_epoch=70.40]

Epoch 38:  89%|████████▉ | 24/27 [00:01<00:00, 15.43it/s, v_num=0, train_loss_step=70.20, train_loss_epoch=70.40]

Epoch 38:  89%|████████▉ | 24/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:  93%|█████████▎| 25/27 [00:01<00:00, 15.54it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.40]

Epoch 38:  93%|█████████▎| 25/27 [00:01<00:00, 15.53it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.40]

Epoch 38:  96%|█████████▋| 26/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.40]

Epoch 38:  96%|█████████▋| 26/27 [00:01<00:00, 15.62it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.40]

Epoch 38: 100%|██████████| 27/27 [00:01<00:00, 15.85it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.40]

Epoch 38: 100%|██████████| 27/27 [00:01<00:00, 15.84it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.40]

Epoch 38: 100%|██████████| 27/27 [00:01<00:00, 15.82it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 38:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]         

Epoch 39:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:   4%|▎         | 1/27 [00:00<00:09,  2.83it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:   4%|▎         | 1/27 [00:00<00:09,  2.81it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.00]

Epoch 39:   7%|▋         | 2/27 [00:00<00:05,  4.74it/s, v_num=0, train_loss_step=69.90, train_loss_epoch=70.00]

Epoch 39:   7%|▋         | 2/27 [00:00<00:05,  4.73it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  11%|█         | 3/27 [00:00<00:03,  6.27it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  11%|█         | 3/27 [00:00<00:03,  6.25it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.00]

Epoch 39:  15%|█▍        | 4/27 [00:00<00:03,  7.39it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.00]

Epoch 39:  15%|█▍        | 4/27 [00:00<00:03,  7.38it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  19%|█▊        | 5/27 [00:00<00:02,  8.42it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  19%|█▊        | 5/27 [00:00<00:02,  8.40it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  22%|██▏       | 6/27 [00:00<00:02,  9.27it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  22%|██▏       | 6/27 [00:00<00:02,  9.26it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  26%|██▌       | 7/27 [00:00<00:02,  9.63it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  26%|██▌       | 7/27 [00:00<00:02,  9.62it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  30%|██▉       | 8/27 [00:00<00:01, 10.24it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  30%|██▉       | 8/27 [00:00<00:01, 10.23it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  33%|███▎      | 9/27 [00:00<00:01, 10.76it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  33%|███▎      | 9/27 [00:00<00:01, 10.75it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  37%|███▋      | 10/27 [00:00<00:01, 11.26it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  37%|███▋      | 10/27 [00:00<00:01, 11.25it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  41%|████      | 11/27 [00:00<00:01, 11.73it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  41%|████      | 11/27 [00:00<00:01, 11.72it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.00]

Epoch 39:  44%|████▍     | 12/27 [00:00<00:01, 12.14it/s, v_num=0, train_loss_step=70.00, train_loss_epoch=70.00]

Epoch 39:  44%|████▍     | 12/27 [00:00<00:01, 12.13it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  48%|████▊     | 13/27 [00:01<00:01, 12.51it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  48%|████▊     | 13/27 [00:01<00:01, 12.50it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=70.00]

Epoch 39:  52%|█████▏    | 14/27 [00:01<00:01, 12.88it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=70.00]

Epoch 39:  52%|█████▏    | 14/27 [00:01<00:01, 12.86it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  56%|█████▌    | 15/27 [00:01<00:00, 13.15it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  56%|█████▌    | 15/27 [00:01<00:00, 13.14it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  59%|█████▉    | 16/27 [00:01<00:00, 13.45it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=70.00]

Epoch 39:  59%|█████▉    | 16/27 [00:01<00:00, 13.44it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=70.00]

Epoch 39:  63%|██████▎   | 17/27 [00:01<00:00, 13.74it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=70.00]

Epoch 39:  63%|██████▎   | 17/27 [00:01<00:00, 13.73it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.00]

Epoch 39:  67%|██████▋   | 18/27 [00:01<00:00, 13.97it/s, v_num=0, train_loss_step=70.10, train_loss_epoch=70.00]

Epoch 39:  67%|██████▋   | 18/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  70%|███████   | 19/27 [00:01<00:00, 14.21it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  70%|███████   | 19/27 [00:01<00:00, 14.20it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=70.00]

Epoch 39:  74%|███████▍  | 20/27 [00:01<00:00, 14.32it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=70.00]

Epoch 39:  74%|███████▍  | 20/27 [00:01<00:00, 14.31it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=70.00]

Epoch 39:  78%|███████▊  | 21/27 [00:01<00:00, 14.24it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=70.00]

Epoch 39:  78%|███████▊  | 21/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  81%|████████▏ | 22/27 [00:01<00:00, 14.31it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=70.00]

Epoch 39:  81%|████████▏ | 22/27 [00:01<00:00, 14.30it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=70.00]

Epoch 39:  85%|████████▌ | 23/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=70.00]

Epoch 39:  85%|████████▌ | 23/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=70.00]

Epoch 39:  89%|████████▉ | 24/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=70.00]

Epoch 39:  89%|████████▉ | 24/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=70.00]

Epoch 39:  93%|█████████▎| 25/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=70.00]

Epoch 39:  93%|█████████▎| 25/27 [00:01<00:00, 14.57it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=70.00]

Epoch 39:  96%|█████████▋| 26/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=70.00]

Epoch 39:  96%|█████████▋| 26/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=70.00]

Epoch 39: 100%|██████████| 27/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=70.00]

Epoch 39: 100%|██████████| 27/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=70.00]

Epoch 39: 100%|██████████| 27/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.70]

Epoch 39:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.70]         

Epoch 40:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.70]

Epoch 40:   4%|▎         | 1/27 [00:00<00:08,  3.06it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.70]

Epoch 40:   4%|▎         | 1/27 [00:00<00:08,  3.04it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=69.70]

Epoch 40:   7%|▋         | 2/27 [00:00<00:04,  5.09it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=69.70]

Epoch 40:   7%|▋         | 2/27 [00:00<00:04,  5.07it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.70]

Epoch 40:  11%|█         | 3/27 [00:00<00:03,  6.68it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.70]

Epoch 40:  11%|█         | 3/27 [00:00<00:03,  6.66it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=69.70]

Epoch 40:  15%|█▍        | 4/27 [00:00<00:02,  7.87it/s, v_num=0, train_loss_step=69.60, train_loss_epoch=69.70]

Epoch 40:  15%|█▍        | 4/27 [00:00<00:02,  7.86it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.70]

Epoch 40:  19%|█▊        | 5/27 [00:00<00:02,  8.85it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.70]

Epoch 40:  19%|█▊        | 5/27 [00:00<00:02,  8.83it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  22%|██▏       | 6/27 [00:00<00:02,  9.63it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  22%|██▏       | 6/27 [00:00<00:02,  9.61it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  26%|██▌       | 7/27 [00:00<00:01, 10.11it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  26%|██▌       | 7/27 [00:00<00:01, 10.10it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=69.70]

Epoch 40:  30%|██▉       | 8/27 [00:00<00:01, 10.81it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=69.70]

Epoch 40:  30%|██▉       | 8/27 [00:00<00:01, 10.80it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  33%|███▎      | 9/27 [00:00<00:01, 11.36it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  33%|███▎      | 9/27 [00:00<00:01, 11.34it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.70]

Epoch 40:  37%|███▋      | 10/27 [00:00<00:01, 11.84it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.70]

Epoch 40:  37%|███▋      | 10/27 [00:00<00:01, 11.82it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.70]

Epoch 40:  41%|████      | 11/27 [00:00<00:01, 12.31it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.70]

Epoch 40:  41%|████      | 11/27 [00:00<00:01, 12.29it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  44%|████▍     | 12/27 [00:00<00:01, 12.74it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  44%|████▍     | 12/27 [00:00<00:01, 12.73it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.70]

Epoch 40:  48%|████▊     | 13/27 [00:00<00:01, 13.15it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.70]

Epoch 40:  48%|████▊     | 13/27 [00:00<00:01, 13.13it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.70]

Epoch 40:  52%|█████▏    | 14/27 [00:01<00:00, 13.48it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.70]

Epoch 40:  52%|█████▏    | 14/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  56%|█████▌    | 15/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  56%|█████▌    | 15/27 [00:01<00:00, 13.70it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.70]

Epoch 40:  59%|█████▉    | 16/27 [00:01<00:00, 14.00it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.70]

Epoch 40:  59%|█████▉    | 16/27 [00:01<00:00, 13.98it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=69.70]

Epoch 40:  63%|██████▎   | 17/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=69.70]

Epoch 40:  63%|██████▎   | 17/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.70]

Epoch 40:  67%|██████▋   | 18/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.70]

Epoch 40:  67%|██████▋   | 18/27 [00:01<00:00, 14.43it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=69.70]

Epoch 40:  70%|███████   | 19/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=69.80, train_loss_epoch=69.70]

Epoch 40:  70%|███████   | 19/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.70]

Epoch 40:  74%|███████▍  | 20/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.70]

Epoch 40:  74%|███████▍  | 20/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=69.70]

Epoch 40:  78%|███████▊  | 21/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=69.70]

Epoch 40:  78%|███████▊  | 21/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.70]

Epoch 40:  81%|████████▏ | 22/27 [00:01<00:00, 14.94it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.70]

Epoch 40:  81%|████████▏ | 22/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  85%|████████▌ | 23/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.70]

Epoch 40:  85%|████████▌ | 23/27 [00:01<00:00, 15.08it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.70]

Epoch 40:  89%|████████▉ | 24/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.70]

Epoch 40:  89%|████████▉ | 24/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.70]

Epoch 40:  93%|█████████▎| 25/27 [00:01<00:00, 15.34it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.70]

Epoch 40:  93%|█████████▎| 25/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=69.70]

Epoch 40:  96%|█████████▋| 26/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=69.70, train_loss_epoch=69.70]

Epoch 40:  96%|█████████▋| 26/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.70]

Epoch 40: 100%|██████████| 27/27 [00:01<00:00, 15.56it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.70]

Epoch 40: 100%|██████████| 27/27 [00:01<00:00, 15.55it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.70]

Epoch 40: 100%|██████████| 27/27 [00:01<00:00, 15.53it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 40:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]         

Epoch 41:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:   4%|▎         | 1/27 [00:00<00:08,  2.99it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:   4%|▎         | 1/27 [00:00<00:08,  2.97it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.30]

Epoch 41:   7%|▋         | 2/27 [00:00<00:04,  5.13it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.30]

Epoch 41:   7%|▋         | 2/27 [00:00<00:04,  5.12it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=69.30]

Epoch 41:  11%|█         | 3/27 [00:00<00:03,  6.67it/s, v_num=0, train_loss_step=69.50, train_loss_epoch=69.30]

Epoch 41:  11%|█         | 3/27 [00:00<00:03,  6.65it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.30]

Epoch 41:  15%|█▍        | 4/27 [00:00<00:02,  7.98it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.30]

Epoch 41:  15%|█▍        | 4/27 [00:00<00:02,  7.97it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  19%|█▊        | 5/27 [00:00<00:02,  8.78it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  19%|█▊        | 5/27 [00:00<00:02,  8.76it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=69.30]

Epoch 41:  22%|██▏       | 6/27 [00:00<00:02,  9.58it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=69.30]

Epoch 41:  22%|██▏       | 6/27 [00:00<00:02,  9.57it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41:  26%|██▌       | 7/27 [00:00<00:01, 10.36it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41:  26%|██▌       | 7/27 [00:00<00:01, 10.34it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41:  30%|██▉       | 8/27 [00:00<00:01, 10.94it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41:  30%|██▉       | 8/27 [00:00<00:01, 10.93it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.30]

Epoch 41:  33%|███▎      | 9/27 [00:00<00:01, 11.50it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.30]

Epoch 41:  33%|███▎      | 9/27 [00:00<00:01, 11.49it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.30]

Epoch 41:  37%|███▋      | 10/27 [00:00<00:01, 12.00it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.30]

Epoch 41:  37%|███▋      | 10/27 [00:00<00:01, 11.99it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.30]

Epoch 41:  41%|████      | 11/27 [00:00<00:01, 12.46it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.30]

Epoch 41:  41%|████      | 11/27 [00:00<00:01, 12.45it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.30]

Epoch 41:  44%|████▍     | 12/27 [00:00<00:01, 12.84it/s, v_num=0, train_loss_step=69.40, train_loss_epoch=69.30]

Epoch 41:  44%|████▍     | 12/27 [00:00<00:01, 12.83it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  48%|████▊     | 13/27 [00:00<00:01, 13.13it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  48%|████▊     | 13/27 [00:00<00:01, 13.12it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.30]

Epoch 41:  52%|█████▏    | 14/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=69.20, train_loss_epoch=69.30]

Epoch 41:  52%|█████▏    | 14/27 [00:01<00:00, 13.45it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.30]

Epoch 41:  56%|█████▌    | 15/27 [00:01<00:00, 13.74it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.30]

Epoch 41:  56%|█████▌    | 15/27 [00:01<00:00, 13.73it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  59%|█████▉    | 16/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  59%|█████▉    | 16/27 [00:01<00:00, 13.98it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.30]

Epoch 41:  63%|██████▎   | 17/27 [00:01<00:00, 14.09it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.30]

Epoch 41:  63%|██████▎   | 17/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  67%|██████▋   | 18/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  67%|██████▋   | 18/27 [00:01<00:00, 14.13it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.30]

Epoch 41:  70%|███████   | 19/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.30]

Epoch 41:  70%|███████   | 19/27 [00:01<00:00, 14.32it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  74%|███████▍  | 20/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  74%|███████▍  | 20/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41:  78%|███████▊  | 21/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41:  78%|███████▊  | 21/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.30]

Epoch 41:  81%|████████▏ | 22/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.30]

Epoch 41:  81%|████████▏ | 22/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  85%|████████▌ | 23/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41:  85%|████████▌ | 23/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=69.30]

Epoch 41:  89%|████████▉ | 24/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=69.30]

Epoch 41:  89%|████████▉ | 24/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41:  93%|█████████▎| 25/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41:  93%|█████████▎| 25/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.30]

Epoch 41:  96%|█████████▋| 26/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.30]

Epoch 41:  96%|█████████▋| 26/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41: 100%|██████████| 27/27 [00:01<00:00, 15.61it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.30]

Epoch 41: 100%|██████████| 27/27 [00:01<00:00, 15.60it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.30]

Epoch 41: 100%|██████████| 27/27 [00:01<00:00, 15.59it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.00]

Epoch 41:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.00]         

Epoch 42:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.00]

Epoch 42:   4%|▎         | 1/27 [00:00<00:08,  3.00it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.00]

Epoch 42:   4%|▎         | 1/27 [00:00<00:08,  2.98it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.00]

Epoch 42:   7%|▋         | 2/27 [00:00<00:04,  5.13it/s, v_num=0, train_loss_step=69.30, train_loss_epoch=69.00]

Epoch 42:   7%|▋         | 2/27 [00:00<00:04,  5.12it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.00]

Epoch 42:  11%|█         | 3/27 [00:00<00:03,  6.84it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.00]

Epoch 42:  11%|█         | 3/27 [00:00<00:03,  6.83it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.00]

Epoch 42:  15%|█▍        | 4/27 [00:00<00:02,  7.89it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.00]

Epoch 42:  15%|█▍        | 4/27 [00:00<00:02,  7.88it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.00]

Epoch 42:  19%|█▊        | 5/27 [00:00<00:02,  8.97it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.00]

Epoch 42:  19%|█▊        | 5/27 [00:00<00:02,  8.95it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.00]

Epoch 42:  22%|██▏       | 6/27 [00:00<00:02,  9.76it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.00]

Epoch 42:  22%|██▏       | 6/27 [00:00<00:02,  9.74it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=69.00]

Epoch 42:  26%|██▌       | 7/27 [00:00<00:01, 10.34it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=69.00]

Epoch 42:  26%|██▌       | 7/27 [00:00<00:01, 10.33it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.00]

Epoch 42:  30%|██▉       | 8/27 [00:00<00:01, 10.88it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.00]

Epoch 42:  30%|██▉       | 8/27 [00:00<00:01, 10.87it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.00]

Epoch 42:  33%|███▎      | 9/27 [00:00<00:01, 11.42it/s, v_num=0, train_loss_step=69.10, train_loss_epoch=69.00]

Epoch 42:  33%|███▎      | 9/27 [00:00<00:01, 11.40it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=69.00]

Epoch 42:  37%|███▋      | 10/27 [00:00<00:01, 11.88it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=69.00]

Epoch 42:  37%|███▋      | 10/27 [00:00<00:01, 11.86it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.00]

Epoch 42:  41%|████      | 11/27 [00:00<00:01, 12.26it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.00]

Epoch 42:  41%|████      | 11/27 [00:00<00:01, 12.25it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  44%|████▍     | 12/27 [00:00<00:01, 12.69it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  44%|████▍     | 12/27 [00:00<00:01, 12.68it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.00]

Epoch 42:  48%|████▊     | 13/27 [00:00<00:01, 13.07it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=69.00]

Epoch 42:  48%|████▊     | 13/27 [00:00<00:01, 13.06it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.00]

Epoch 42:  52%|█████▏    | 14/27 [00:01<00:00, 13.43it/s, v_num=0, train_loss_step=68.70, train_loss_epoch=69.00]

Epoch 42:  52%|█████▏    | 14/27 [00:01<00:00, 13.41it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  56%|█████▌    | 15/27 [00:01<00:00, 13.72it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  56%|█████▌    | 15/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.00]

Epoch 42:  59%|█████▉    | 16/27 [00:01<00:00, 14.01it/s, v_num=0, train_loss_step=69.00, train_loss_epoch=69.00]

Epoch 42:  59%|█████▉    | 16/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=69.00]

Epoch 42:  63%|██████▎   | 17/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=69.00]

Epoch 42:  63%|██████▎   | 17/27 [00:01<00:00, 14.25it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=69.00]

Epoch 42:  67%|██████▋   | 18/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=69.00]

Epoch 42:  67%|██████▋   | 18/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.00]

Epoch 42:  70%|███████   | 19/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.00]

Epoch 42:  70%|███████   | 19/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  74%|███████▍  | 20/27 [00:01<00:00, 14.75it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  74%|███████▍  | 20/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.00]

Epoch 42:  78%|███████▊  | 21/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.00]

Epoch 42:  78%|███████▊  | 21/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=69.00]

Epoch 42:  81%|████████▏ | 22/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=69.00]

Epoch 42:  81%|████████▏ | 22/27 [00:01<00:00, 15.08it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  85%|████████▌ | 23/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  85%|████████▌ | 23/27 [00:01<00:00, 15.24it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.00]

Epoch 42:  89%|████████▉ | 24/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=69.00]

Epoch 42:  89%|████████▉ | 24/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  93%|█████████▎| 25/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=69.00]

Epoch 42:  93%|█████████▎| 25/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=69.00]

Epoch 42:  96%|█████████▋| 26/27 [00:01<00:00, 15.64it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=69.00]

Epoch 42:  96%|█████████▋| 26/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=69.00]

Epoch 42: 100%|██████████| 27/27 [00:01<00:00, 15.86it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=69.00]

Epoch 42: 100%|██████████| 27/27 [00:01<00:00, 15.85it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=69.00]

Epoch 42: 100%|██████████| 27/27 [00:01<00:00, 15.84it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=68.70]

Epoch 42:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=68.70]         

Epoch 43:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=68.70]

Epoch 43:   4%|▎         | 1/27 [00:00<00:08,  2.94it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=68.70]

Epoch 43:   4%|▎         | 1/27 [00:00<00:08,  2.92it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=68.70]

Epoch 43:   7%|▋         | 2/27 [00:00<00:05,  4.93it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=68.70]

Epoch 43:   7%|▋         | 2/27 [00:00<00:05,  4.92it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.70]

Epoch 43:  11%|█         | 3/27 [00:00<00:03,  6.53it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.70]

Epoch 43:  11%|█         | 3/27 [00:00<00:03,  6.52it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=68.70]

Epoch 43:  15%|█▍        | 4/27 [00:00<00:02,  7.74it/s, v_num=0, train_loss_step=68.80, train_loss_epoch=68.70]

Epoch 43:  15%|█▍        | 4/27 [00:00<00:02,  7.73it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.70]

Epoch 43:  19%|█▊        | 5/27 [00:00<00:02,  8.79it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.70]

Epoch 43:  19%|█▊        | 5/27 [00:00<00:02,  8.78it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=68.70]

Epoch 43:  22%|██▏       | 6/27 [00:00<00:02,  9.68it/s, v_num=0, train_loss_step=68.90, train_loss_epoch=68.70]

Epoch 43:  22%|██▏       | 6/27 [00:00<00:02,  9.67it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=68.70]

Epoch 43:  26%|██▌       | 7/27 [00:00<00:01, 10.29it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=68.70]

Epoch 43:  26%|██▌       | 7/27 [00:00<00:01, 10.27it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.70]

Epoch 43:  30%|██▉       | 8/27 [00:00<00:01, 10.87it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.70]

Epoch 43:  30%|██▉       | 8/27 [00:00<00:01, 10.85it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.70]

Epoch 43:  33%|███▎      | 9/27 [00:00<00:01, 11.43it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.70]

Epoch 43:  33%|███▎      | 9/27 [00:00<00:01, 11.42it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  37%|███▋      | 10/27 [00:00<00:01, 11.92it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  37%|███▋      | 10/27 [00:00<00:01, 11.91it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.70]

Epoch 43:  41%|████      | 11/27 [00:00<00:01, 12.33it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.70]

Epoch 43:  41%|████      | 11/27 [00:00<00:01, 12.32it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=68.70]

Epoch 43:  44%|████▍     | 12/27 [00:00<00:01, 12.74it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=68.70]

Epoch 43:  44%|████▍     | 12/27 [00:00<00:01, 12.72it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.70]

Epoch 43:  48%|████▊     | 13/27 [00:00<00:01, 13.08it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.70]

Epoch 43:  48%|████▊     | 13/27 [00:00<00:01, 13.07it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  52%|█████▏    | 14/27 [00:01<00:00, 13.39it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  52%|█████▏    | 14/27 [00:01<00:00, 13.37it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=68.70]

Epoch 43:  56%|█████▌    | 15/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=68.70]

Epoch 43:  56%|█████▌    | 15/27 [00:01<00:00, 13.70it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  59%|█████▉    | 16/27 [00:01<00:00, 13.97it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  59%|█████▉    | 16/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  63%|██████▎   | 17/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  63%|██████▎   | 17/27 [00:01<00:00, 14.21it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  67%|██████▋   | 18/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  67%|██████▋   | 18/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=68.70]

Epoch 43:  70%|███████   | 19/27 [00:01<00:00, 14.69it/s, v_num=0, train_loss_step=68.50, train_loss_epoch=68.70]

Epoch 43:  70%|███████   | 19/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.70]

Epoch 43:  74%|███████▍  | 20/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.70]

Epoch 43:  74%|███████▍  | 20/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.70]

Epoch 43:  78%|███████▊  | 21/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.70]

Epoch 43:  78%|███████▊  | 21/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  81%|████████▏ | 22/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.70]

Epoch 43:  81%|████████▏ | 22/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=68.70]

Epoch 43:  85%|████████▌ | 23/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=68.70]

Epoch 43:  85%|████████▌ | 23/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.70]

Epoch 43:  89%|████████▉ | 24/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.70]

Epoch 43:  89%|████████▉ | 24/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.70]

Epoch 43:  93%|█████████▎| 25/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.70]

Epoch 43:  93%|█████████▎| 25/27 [00:01<00:00, 15.48it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.70]

Epoch 43:  96%|█████████▋| 26/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.70]

Epoch 43:  96%|█████████▋| 26/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.70]

Epoch 43: 100%|██████████| 27/27 [00:01<00:00, 15.67it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.70]

Epoch 43: 100%|██████████| 27/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.70]

Epoch 43: 100%|██████████| 27/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.30]

Epoch 43:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.30]         

Epoch 44:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.30]

Epoch 44:   4%|▎         | 1/27 [00:00<00:08,  2.95it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.30]

Epoch 44:   4%|▎         | 1/27 [00:00<00:08,  2.93it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.30]

Epoch 44:   7%|▋         | 2/27 [00:00<00:05,  4.95it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.30]

Epoch 44:   7%|▋         | 2/27 [00:00<00:05,  4.94it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.30]

Epoch 44:  11%|█         | 3/27 [00:00<00:03,  6.54it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.30]

Epoch 44:  11%|█         | 3/27 [00:00<00:03,  6.53it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  15%|█▍        | 4/27 [00:00<00:02,  7.85it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  15%|█▍        | 4/27 [00:00<00:02,  7.84it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.30]

Epoch 44:  19%|█▊        | 5/27 [00:00<00:02,  8.92it/s, v_num=0, train_loss_step=68.60, train_loss_epoch=68.30]

Epoch 44:  19%|█▊        | 5/27 [00:00<00:02,  8.90it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=68.30]

Epoch 44:  22%|██▏       | 6/27 [00:00<00:02,  9.63it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=68.30]

Epoch 44:  22%|██▏       | 6/27 [00:00<00:02,  9.62it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.30]

Epoch 44:  26%|██▌       | 7/27 [00:00<00:01, 10.31it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.30]

Epoch 44:  26%|██▌       | 7/27 [00:00<00:01, 10.29it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.30]

Epoch 44:  30%|██▉       | 8/27 [00:00<00:01, 10.80it/s, v_num=0, train_loss_step=68.10, train_loss_epoch=68.30]

Epoch 44:  30%|██▉       | 8/27 [00:00<00:01, 10.79it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.30]

Epoch 44:  33%|███▎      | 9/27 [00:00<00:01, 11.29it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.30]

Epoch 44:  33%|███▎      | 9/27 [00:00<00:01, 11.28it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.30]

Epoch 44:  37%|███▋      | 10/27 [00:00<00:01, 11.64it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.30]

Epoch 44:  37%|███▋      | 10/27 [00:00<00:01, 11.62it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.30]

Epoch 44:  41%|████      | 11/27 [00:00<00:01, 12.04it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.30]

Epoch 44:  41%|████      | 11/27 [00:00<00:01, 12.02it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  44%|████▍     | 12/27 [00:00<00:01, 12.30it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  44%|████▍     | 12/27 [00:00<00:01, 12.29it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.30]

Epoch 44:  48%|████▊     | 13/27 [00:01<00:01, 12.65it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.30]

Epoch 44:  48%|████▊     | 13/27 [00:01<00:01, 12.64it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.30]

Epoch 44:  52%|█████▏    | 14/27 [00:01<00:01, 12.98it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.30]

Epoch 44:  52%|█████▏    | 14/27 [00:01<00:01, 12.97it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.30]

Epoch 44:  56%|█████▌    | 15/27 [00:01<00:00, 13.31it/s, v_num=0, train_loss_step=68.30, train_loss_epoch=68.30]

Epoch 44:  56%|█████▌    | 15/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.30]

Epoch 44:  59%|█████▉    | 16/27 [00:01<00:00, 13.43it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.30]

Epoch 44:  59%|█████▉    | 16/27 [00:01<00:00, 13.42it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  63%|██████▎   | 17/27 [00:01<00:00, 13.56it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  63%|██████▎   | 17/27 [00:01<00:00, 13.55it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.30]

Epoch 44:  67%|██████▋   | 18/27 [00:01<00:00, 13.78it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.30]

Epoch 44:  67%|██████▋   | 18/27 [00:01<00:00, 13.77it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=68.30]

Epoch 44:  70%|███████   | 19/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=68.30]

Epoch 44:  70%|███████   | 19/27 [00:01<00:00, 13.94it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.30]

Epoch 44:  74%|███████▍  | 20/27 [00:01<00:00, 14.16it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.30]

Epoch 44:  74%|███████▍  | 20/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.30]

Epoch 44:  78%|███████▊  | 21/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.30]

Epoch 44:  78%|███████▊  | 21/27 [00:01<00:00, 14.34it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.30]

Epoch 44:  81%|████████▏ | 22/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.30]

Epoch 44:  81%|████████▏ | 22/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.30]

Epoch 44:  85%|████████▌ | 23/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=68.20, train_loss_epoch=68.30]

Epoch 44:  85%|████████▌ | 23/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  89%|████████▉ | 24/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  89%|████████▉ | 24/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  93%|█████████▎| 25/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.30]

Epoch 44:  93%|█████████▎| 25/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=68.30]

Epoch 44:  96%|█████████▋| 26/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=68.30]

Epoch 44:  96%|█████████▋| 26/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.30]

Epoch 44: 100%|██████████| 27/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.30]

Epoch 44: 100%|██████████| 27/27 [00:01<00:00, 15.24it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.30]

Epoch 44: 100%|██████████| 27/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 44:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]         

Epoch 45:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:   4%|▎         | 1/27 [00:00<00:09,  2.74it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:   4%|▎         | 1/27 [00:00<00:09,  2.72it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.00]

Epoch 45:   7%|▋         | 2/27 [00:00<00:05,  4.64it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.00]

Epoch 45:   7%|▋         | 2/27 [00:00<00:05,  4.63it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  11%|█         | 3/27 [00:00<00:03,  6.22it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  11%|█         | 3/27 [00:00<00:03,  6.21it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.00]

Epoch 45:  15%|█▍        | 4/27 [00:00<00:03,  7.45it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.00]

Epoch 45:  15%|█▍        | 4/27 [00:00<00:03,  7.44it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  19%|█▊        | 5/27 [00:00<00:02,  8.44it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  19%|█▊        | 5/27 [00:00<00:02,  8.43it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=68.00]

Epoch 45:  22%|██▏       | 6/27 [00:00<00:02,  9.12it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=68.00]

Epoch 45:  22%|██▏       | 6/27 [00:00<00:02,  9.11it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.00]

Epoch 45:  26%|██▌       | 7/27 [00:00<00:02,  9.82it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.00]

Epoch 45:  26%|██▌       | 7/27 [00:00<00:02,  9.81it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.00]

Epoch 45:  30%|██▉       | 8/27 [00:00<00:01, 10.43it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.00]

Epoch 45:  30%|██▉       | 8/27 [00:00<00:01, 10.42it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  33%|███▎      | 9/27 [00:00<00:01, 10.96it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  33%|███▎      | 9/27 [00:00<00:01, 10.95it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.00]

Epoch 45:  37%|███▋      | 10/27 [00:00<00:01, 11.46it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.00]

Epoch 45:  37%|███▋      | 10/27 [00:00<00:01, 11.43it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  41%|████      | 11/27 [00:00<00:01, 11.91it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  41%|████      | 11/27 [00:00<00:01, 11.90it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=68.00]

Epoch 45:  44%|████▍     | 12/27 [00:00<00:01, 12.29it/s, v_num=0, train_loss_step=68.40, train_loss_epoch=68.00]

Epoch 45:  44%|████▍     | 12/27 [00:00<00:01, 12.28it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=68.00]

Epoch 45:  48%|████▊     | 13/27 [00:01<00:01, 12.68it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=68.00]

Epoch 45:  48%|████▊     | 13/27 [00:01<00:01, 12.67it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=68.00]

Epoch 45:  52%|█████▏    | 14/27 [00:01<00:01, 12.94it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=68.00]

Epoch 45:  52%|█████▏    | 14/27 [00:01<00:01, 12.93it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.00]

Epoch 45:  56%|█████▌    | 15/27 [00:01<00:00, 13.24it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.00]

Epoch 45:  56%|█████▌    | 15/27 [00:01<00:00, 13.23it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=68.00]

Epoch 45:  59%|█████▉    | 16/27 [00:01<00:00, 13.51it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=68.00]

Epoch 45:  59%|█████▉    | 16/27 [00:01<00:00, 13.50it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  63%|██████▎   | 17/27 [00:01<00:00, 13.74it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  63%|██████▎   | 17/27 [00:01<00:00, 13.73it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  67%|██████▋   | 18/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  67%|██████▋   | 18/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.00]

Epoch 45:  70%|███████   | 19/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=68.00]

Epoch 45:  70%|███████   | 19/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  74%|███████▍  | 20/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  74%|███████▍  | 20/27 [00:01<00:00, 14.21it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  78%|███████▊  | 21/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  78%|███████▊  | 21/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  81%|████████▏ | 22/27 [00:01<00:00, 14.43it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45:  81%|████████▏ | 22/27 [00:01<00:00, 14.42it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  85%|████████▌ | 23/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  85%|████████▌ | 23/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.00]

Epoch 45:  89%|████████▉ | 24/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=67.90, train_loss_epoch=68.00]

Epoch 45:  89%|████████▉ | 24/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.00]

Epoch 45:  93%|█████████▎| 25/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.00]

Epoch 45:  93%|█████████▎| 25/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  96%|█████████▋| 26/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=68.00]

Epoch 45:  96%|█████████▋| 26/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.00]

Epoch 45: 100%|██████████| 27/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=68.00, train_loss_epoch=68.00]

Epoch 45: 100%|██████████| 27/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=68.00]

Epoch 45: 100%|██████████| 27/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 45:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]         

Epoch 46:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:   4%|▎         | 1/27 [00:00<00:08,  3.07it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:   4%|▎         | 1/27 [00:00<00:08,  3.05it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:   7%|▋         | 2/27 [00:00<00:04,  5.29it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:   7%|▋         | 2/27 [00:00<00:04,  5.28it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.70]

Epoch 46:  11%|█         | 3/27 [00:00<00:03,  6.78it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.70]

Epoch 46:  11%|█         | 3/27 [00:00<00:03,  6.76it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  15%|█▍        | 4/27 [00:00<00:02,  8.07it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  15%|█▍        | 4/27 [00:00<00:02,  8.05it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.70]

Epoch 46:  19%|█▊        | 5/27 [00:00<00:02,  8.95it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.70]

Epoch 46:  19%|█▊        | 5/27 [00:00<00:02,  8.93it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.70]

Epoch 46:  22%|██▏       | 6/27 [00:00<00:02,  9.72it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.70]

Epoch 46:  22%|██▏       | 6/27 [00:00<00:02,  9.71it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.70]

Epoch 46:  26%|██▌       | 7/27 [00:00<00:01, 10.38it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.70]

Epoch 46:  26%|██▌       | 7/27 [00:00<00:01, 10.36it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.70]

Epoch 46:  30%|██▉       | 8/27 [00:00<00:01, 11.02it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.70]

Epoch 46:  30%|██▉       | 8/27 [00:00<00:01, 11.01it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.70]

Epoch 46:  33%|███▎      | 9/27 [00:00<00:01, 11.52it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.70]

Epoch 46:  33%|███▎      | 9/27 [00:00<00:01, 11.50it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  37%|███▋      | 10/27 [00:00<00:01, 12.06it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  37%|███▋      | 10/27 [00:00<00:01, 12.05it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  41%|████      | 11/27 [00:00<00:01, 12.44it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  41%|████      | 11/27 [00:00<00:01, 12.42it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=67.70]

Epoch 46:  44%|████▍     | 12/27 [00:00<00:01, 12.92it/s, v_num=0, train_loss_step=67.80, train_loss_epoch=67.70]

Epoch 46:  44%|████▍     | 12/27 [00:00<00:01, 12.91it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=67.70]

Epoch 46:  48%|████▊     | 13/27 [00:00<00:01, 13.26it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=67.70]

Epoch 46:  48%|████▊     | 13/27 [00:00<00:01, 13.25it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  52%|█████▏    | 14/27 [00:01<00:00, 13.52it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  52%|█████▏    | 14/27 [00:01<00:00, 13.51it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  56%|█████▌    | 15/27 [00:01<00:00, 13.79it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  56%|█████▌    | 15/27 [00:01<00:00, 13.77it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.70]

Epoch 46:  59%|█████▉    | 16/27 [00:01<00:00, 14.08it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.70]

Epoch 46:  59%|█████▉    | 16/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=67.70]

Epoch 46:  63%|██████▎   | 17/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=67.70, train_loss_epoch=67.70]

Epoch 46:  63%|██████▎   | 17/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  67%|██████▋   | 18/27 [00:01<00:00, 14.48it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  67%|██████▋   | 18/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.70]

Epoch 46:  70%|███████   | 19/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.70]

Epoch 46:  70%|███████   | 19/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  74%|███████▍  | 20/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  74%|███████▍  | 20/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  78%|███████▊  | 21/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  78%|███████▊  | 21/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.70]

Epoch 46:  81%|████████▏ | 22/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.70]

Epoch 46:  81%|████████▏ | 22/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.70]

Epoch 46:  85%|████████▌ | 23/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.70]

Epoch 46:  85%|████████▌ | 23/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  89%|████████▉ | 24/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.70]

Epoch 46:  89%|████████▉ | 24/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  93%|█████████▎| 25/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.70]

Epoch 46:  93%|█████████▎| 25/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.70]

Epoch 46:  96%|█████████▋| 26/27 [00:01<00:00, 15.32it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.70]

Epoch 46:  96%|█████████▋| 26/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.70]

Epoch 46: 100%|██████████| 27/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.70]

Epoch 46: 100%|██████████| 27/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.70]

Epoch 46: 100%|██████████| 27/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]

Epoch 46:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]         

Epoch 47:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]

Epoch 47:   4%|▎         | 1/27 [00:00<00:09,  2.73it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]

Epoch 47:   4%|▎         | 1/27 [00:00<00:09,  2.72it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.40]

Epoch 47:   7%|▋         | 2/27 [00:00<00:05,  4.69it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.40]

Epoch 47:   7%|▋         | 2/27 [00:00<00:05,  4.68it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]

Epoch 47:  11%|█         | 3/27 [00:00<00:03,  6.07it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]

Epoch 47:  11%|█         | 3/27 [00:00<00:03,  6.05it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.40]

Epoch 47:  15%|█▍        | 4/27 [00:00<00:03,  7.30it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.40]

Epoch 47:  15%|█▍        | 4/27 [00:00<00:03,  7.28it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.40]

Epoch 47:  19%|█▊        | 5/27 [00:00<00:02,  8.29it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.40]

Epoch 47:  19%|█▊        | 5/27 [00:00<00:02,  8.28it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]

Epoch 47:  22%|██▏       | 6/27 [00:00<00:02,  8.99it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]

Epoch 47:  22%|██▏       | 6/27 [00:00<00:02,  8.97it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.40]

Epoch 47:  26%|██▌       | 7/27 [00:00<00:02,  9.67it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.40]

Epoch 47:  26%|██▌       | 7/27 [00:00<00:02,  9.65it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.40]

Epoch 47:  30%|██▉       | 8/27 [00:00<00:01, 10.30it/s, v_num=0, train_loss_step=67.60, train_loss_epoch=67.40]

Epoch 47:  30%|██▉       | 8/27 [00:00<00:01, 10.29it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.40]

Epoch 47:  33%|███▎      | 9/27 [00:00<00:01, 10.75it/s, v_num=0, train_loss_step=67.40, train_loss_epoch=67.40]

Epoch 47:  33%|███▎      | 9/27 [00:00<00:01, 10.74it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.40]

Epoch 47:  37%|███▋      | 10/27 [00:00<00:01, 11.08it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.40]

Epoch 47:  37%|███▋      | 10/27 [00:00<00:01, 11.07it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  41%|████      | 11/27 [00:00<00:01, 11.43it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  41%|████      | 11/27 [00:00<00:01, 11.42it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.40]

Epoch 47:  44%|████▍     | 12/27 [00:01<00:01, 11.87it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.40]

Epoch 47:  44%|████▍     | 12/27 [00:01<00:01, 11.86it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]

Epoch 47:  48%|████▊     | 13/27 [00:01<00:01, 12.23it/s, v_num=0, train_loss_step=67.50, train_loss_epoch=67.40]

Epoch 47:  48%|████▊     | 13/27 [00:01<00:01, 12.22it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.40]

Epoch 47:  52%|█████▏    | 14/27 [00:01<00:01, 12.60it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.40]

Epoch 47:  52%|█████▏    | 14/27 [00:01<00:01, 12.59it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.40]

Epoch 47:  56%|█████▌    | 15/27 [00:01<00:00, 12.90it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.40]

Epoch 47:  56%|█████▌    | 15/27 [00:01<00:00, 12.88it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.40]

Epoch 47:  59%|█████▉    | 16/27 [00:01<00:00, 13.20it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.40]

Epoch 47:  59%|█████▉    | 16/27 [00:01<00:00, 13.19it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.40]

Epoch 47:  63%|██████▎   | 17/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.40]

Epoch 47:  63%|██████▎   | 17/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  67%|██████▋   | 18/27 [00:01<00:00, 13.68it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  67%|██████▋   | 18/27 [00:01<00:00, 13.67it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.40]

Epoch 47:  70%|███████   | 19/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.40]

Epoch 47:  70%|███████   | 19/27 [00:01<00:00, 13.91it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  74%|███████▍  | 20/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  74%|███████▍  | 20/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  78%|███████▊  | 21/27 [00:01<00:00, 14.03it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  78%|███████▊  | 21/27 [00:01<00:00, 14.02it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  81%|████████▏ | 22/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.40]

Epoch 47:  81%|████████▏ | 22/27 [00:01<00:00, 14.21it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.40]

Epoch 47:  85%|████████▌ | 23/27 [00:01<00:00, 14.42it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.40]

Epoch 47:  85%|████████▌ | 23/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.40]

Epoch 47:  89%|████████▉ | 24/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=67.30, train_loss_epoch=67.40]

Epoch 47:  89%|████████▉ | 24/27 [00:01<00:00, 14.57it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=67.40]

Epoch 47:  93%|█████████▎| 25/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=67.40]

Epoch 47:  93%|█████████▎| 25/27 [00:01<00:00, 14.71it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.40]

Epoch 47:  96%|█████████▋| 26/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.40]

Epoch 47:  96%|█████████▋| 26/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.40]

Epoch 47: 100%|██████████| 27/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.40]

Epoch 47: 100%|██████████| 27/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.40]

Epoch 47: 100%|██████████| 27/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 47:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]         

Epoch 48:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:   4%|▎         | 1/27 [00:00<00:09,  2.74it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:   4%|▎         | 1/27 [00:00<00:09,  2.73it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:   7%|▋         | 2/27 [00:00<00:05,  4.74it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:   7%|▋         | 2/27 [00:00<00:05,  4.72it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  11%|█         | 3/27 [00:00<00:03,  6.24it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  11%|█         | 3/27 [00:00<00:03,  6.23it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.10]

Epoch 48:  15%|█▍        | 4/27 [00:00<00:03,  7.48it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.10]

Epoch 48:  15%|█▍        | 4/27 [00:00<00:03,  7.47it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.10]

Epoch 48:  19%|█▊        | 5/27 [00:00<00:02,  8.46it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.10]

Epoch 48:  19%|█▊        | 5/27 [00:00<00:02,  8.45it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.10]

Epoch 48:  22%|██▏       | 6/27 [00:00<00:02,  9.25it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.10]

Epoch 48:  22%|██▏       | 6/27 [00:00<00:02,  9.24it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.10]

Epoch 48:  26%|██▌       | 7/27 [00:00<00:02,  9.71it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.10]

Epoch 48:  26%|██▌       | 7/27 [00:00<00:02,  9.68it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.10]

Epoch 48:  30%|██▉       | 8/27 [00:00<00:01, 10.32it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.10]

Epoch 48:  30%|██▉       | 8/27 [00:00<00:01, 10.31it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=67.10]

Epoch 48:  33%|███▎      | 9/27 [00:00<00:01, 10.89it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=67.10]

Epoch 48:  33%|███▎      | 9/27 [00:00<00:01, 10.88it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  37%|███▋      | 10/27 [00:00<00:01, 11.40it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  37%|███▋      | 10/27 [00:00<00:01, 11.39it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  41%|████      | 11/27 [00:00<00:01, 11.82it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  41%|████      | 11/27 [00:00<00:01, 11.80it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.10]

Epoch 48:  44%|████▍     | 12/27 [00:00<00:01, 12.29it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.10]

Epoch 48:  44%|████▍     | 12/27 [00:00<00:01, 12.26it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  48%|████▊     | 13/27 [00:01<00:01, 12.65it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  48%|████▊     | 13/27 [00:01<00:01, 12.64it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  52%|█████▏    | 14/27 [00:01<00:00, 13.01it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  52%|█████▏    | 14/27 [00:01<00:00, 13.00it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.10]

Epoch 48:  56%|█████▌    | 15/27 [00:01<00:00, 13.16it/s, v_num=0, train_loss_step=67.10, train_loss_epoch=67.10]

Epoch 48:  56%|█████▌    | 15/27 [00:01<00:00, 13.15it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  59%|█████▉    | 16/27 [00:01<00:00, 13.43it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  59%|█████▉    | 16/27 [00:01<00:00, 13.42it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  63%|██████▎   | 17/27 [00:01<00:00, 13.70it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  63%|██████▎   | 17/27 [00:01<00:00, 13.69it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  67%|██████▋   | 18/27 [00:01<00:00, 13.91it/s, v_num=0, train_loss_step=67.00, train_loss_epoch=67.10]

Epoch 48:  67%|██████▋   | 18/27 [00:01<00:00, 13.90it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=67.10]

Epoch 48:  70%|███████   | 19/27 [00:01<00:00, 14.11it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=67.10]

Epoch 48:  70%|███████   | 19/27 [00:01<00:00, 14.09it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=67.10]

Epoch 48:  74%|███████▍  | 20/27 [00:01<00:00, 14.31it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=67.10]

Epoch 48:  74%|███████▍  | 20/27 [00:01<00:00, 14.30it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.10]

Epoch 48:  78%|███████▊  | 21/27 [00:01<00:00, 14.48it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=67.10]

Epoch 48:  78%|███████▊  | 21/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  81%|████████▏ | 22/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  81%|████████▏ | 22/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  85%|████████▌ | 23/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  85%|████████▌ | 23/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  89%|████████▉ | 24/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48:  89%|████████▉ | 24/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.10]

Epoch 48:  93%|█████████▎| 25/27 [00:01<00:00, 14.96it/s, v_num=0, train_loss_step=67.20, train_loss_epoch=67.10]

Epoch 48:  93%|█████████▎| 25/27 [00:01<00:00, 14.95it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.10]

Epoch 48:  96%|█████████▋| 26/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=67.10]

Epoch 48:  96%|█████████▋| 26/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48: 100%|██████████| 27/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=67.10]

Epoch 48: 100%|██████████| 27/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=67.10]

Epoch 48: 100%|██████████| 27/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.80]

Epoch 48:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.80]         

Epoch 49:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.80]

Epoch 49:   4%|▎         | 1/27 [00:00<00:09,  2.68it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.80]

Epoch 49:   4%|▎         | 1/27 [00:00<00:09,  2.66it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=66.80]

Epoch 49:   7%|▋         | 2/27 [00:00<00:05,  4.55it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=66.80]

Epoch 49:   7%|▋         | 2/27 [00:00<00:05,  4.54it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=66.80]

Epoch 49:  11%|█         | 3/27 [00:00<00:03,  6.10it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=66.80]

Epoch 49:  11%|█         | 3/27 [00:00<00:03,  6.09it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  15%|█▍        | 4/27 [00:00<00:03,  7.29it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  15%|█▍        | 4/27 [00:00<00:03,  7.28it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.80]

Epoch 49:  19%|█▊        | 5/27 [00:00<00:02,  8.28it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.80]

Epoch 49:  19%|█▊        | 5/27 [00:00<00:02,  8.26it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=66.80]

Epoch 49:  22%|██▏       | 6/27 [00:00<00:02,  9.17it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=66.80]

Epoch 49:  22%|██▏       | 6/27 [00:00<00:02,  9.15it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  26%|██▌       | 7/27 [00:00<00:02,  9.88it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  26%|██▌       | 7/27 [00:00<00:02,  9.86it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  30%|██▉       | 8/27 [00:00<00:01, 10.42it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  30%|██▉       | 8/27 [00:00<00:01, 10.40it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.80]

Epoch 49:  33%|███▎      | 9/27 [00:00<00:01, 10.98it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.80]

Epoch 49:  33%|███▎      | 9/27 [00:00<00:01, 10.97it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  37%|███▋      | 10/27 [00:00<00:01, 11.46it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  37%|███▋      | 10/27 [00:00<00:01, 11.44it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=66.80]

Epoch 49:  41%|████      | 11/27 [00:00<00:01, 11.86it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=66.80]

Epoch 49:  41%|████      | 11/27 [00:00<00:01, 11.85it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.80]

Epoch 49:  44%|████▍     | 12/27 [00:00<00:01, 12.31it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.80]

Epoch 49:  44%|████▍     | 12/27 [00:00<00:01, 12.30it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=66.80]

Epoch 49:  48%|████▊     | 13/27 [00:01<00:01, 12.68it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=66.80]

Epoch 49:  48%|████▊     | 13/27 [00:01<00:01, 12.67it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=66.80]

Epoch 49:  52%|█████▏    | 14/27 [00:01<00:00, 13.02it/s, v_num=0, train_loss_step=66.90, train_loss_epoch=66.80]

Epoch 49:  52%|█████▏    | 14/27 [00:01<00:00, 13.01it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=66.80]

Epoch 49:  56%|█████▌    | 15/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=66.80]

Epoch 49:  56%|█████▌    | 15/27 [00:01<00:00, 13.35it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  59%|█████▉    | 16/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  59%|█████▉    | 16/27 [00:01<00:00, 13.56it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=66.80]

Epoch 49:  63%|██████▎   | 17/27 [00:01<00:00, 13.84it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=66.80]

Epoch 49:  63%|██████▎   | 17/27 [00:01<00:00, 13.83it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  67%|██████▋   | 18/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  67%|██████▋   | 18/27 [00:01<00:00, 14.03it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.80]

Epoch 49:  70%|███████   | 19/27 [00:01<00:00, 14.25it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.80]

Epoch 49:  70%|███████   | 19/27 [00:01<00:00, 14.24it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.80]

Epoch 49:  74%|███████▍  | 20/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.80]

Epoch 49:  74%|███████▍  | 20/27 [00:01<00:00, 14.37it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.80]

Epoch 49:  78%|███████▊  | 21/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.80]

Epoch 49:  78%|███████▊  | 21/27 [00:01<00:00, 14.42it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  81%|████████▏ | 22/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49:  81%|████████▏ | 22/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.80]

Epoch 49:  85%|████████▌ | 23/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.80]

Epoch 49:  85%|████████▌ | 23/27 [00:01<00:00, 14.71it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.80]

Epoch 49:  89%|████████▉ | 24/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.80]

Epoch 49:  89%|████████▉ | 24/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.80]

Epoch 49:  93%|█████████▎| 25/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.80]

Epoch 49:  93%|█████████▎| 25/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=66.80]

Epoch 49:  96%|█████████▋| 26/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=66.80]

Epoch 49:  96%|█████████▋| 26/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49: 100%|██████████| 27/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49: 100%|██████████| 27/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.80]

Epoch 49: 100%|██████████| 27/27 [00:01<00:00, 15.32it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.60]

Epoch 49:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.60]         

Epoch 50:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.60]

Epoch 50:   4%|▎         | 1/27 [00:00<00:08,  2.92it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.60]

Epoch 50:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.60]

Epoch 50:   7%|▋         | 2/27 [00:00<00:05,  4.85it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.60]

Epoch 50:   7%|▋         | 2/27 [00:00<00:05,  4.84it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.60]

Epoch 50:  11%|█         | 3/27 [00:00<00:03,  6.17it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.60]

Epoch 50:  11%|█         | 3/27 [00:00<00:03,  6.16it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.60]

Epoch 50:  15%|█▍        | 4/27 [00:00<00:03,  7.42it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.60]

Epoch 50:  15%|█▍        | 4/27 [00:00<00:03,  7.41it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.60]

Epoch 50:  19%|█▊        | 5/27 [00:00<00:02,  8.46it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.60]

Epoch 50:  19%|█▊        | 5/27 [00:00<00:02,  8.44it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.60]

Epoch 50:  22%|██▏       | 6/27 [00:00<00:02,  9.28it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.60]

Epoch 50:  22%|██▏       | 6/27 [00:00<00:02,  9.26it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.60]

Epoch 50:  26%|██▌       | 7/27 [00:00<00:02,  9.78it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.60]

Epoch 50:  26%|██▌       | 7/27 [00:00<00:02,  9.77it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.60]

Epoch 50:  30%|██▉       | 8/27 [00:00<00:01, 10.39it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.60]

Epoch 50:  30%|██▉       | 8/27 [00:00<00:01, 10.38it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.60]

Epoch 50:  33%|███▎      | 9/27 [00:00<00:01, 10.92it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.60]

Epoch 50:  33%|███▎      | 9/27 [00:00<00:01, 10.91it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.60]

Epoch 50:  37%|███▋      | 10/27 [00:00<00:01, 11.39it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.60]

Epoch 50:  37%|███▋      | 10/27 [00:00<00:01, 11.38it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.60]

Epoch 50:  41%|████      | 11/27 [00:00<00:01, 11.81it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.60]

Epoch 50:  41%|████      | 11/27 [00:00<00:01, 11.80it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.60]

Epoch 50:  44%|████▍     | 12/27 [00:00<00:01, 12.26it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.60]

Epoch 50:  44%|████▍     | 12/27 [00:00<00:01, 12.24it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.60]

Epoch 50:  48%|████▊     | 13/27 [00:01<00:01, 12.65it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.60]

Epoch 50:  48%|████▊     | 13/27 [00:01<00:01, 12.64it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.60]

Epoch 50:  52%|█████▏    | 14/27 [00:01<00:01, 12.97it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.60]

Epoch 50:  52%|█████▏    | 14/27 [00:01<00:01, 12.95it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.60]

Epoch 50:  56%|█████▌    | 15/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.60]

Epoch 50:  56%|█████▌    | 15/27 [00:01<00:00, 13.27it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.60]

Epoch 50:  59%|█████▉    | 16/27 [00:01<00:00, 13.55it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.60]

Epoch 50:  59%|█████▉    | 16/27 [00:01<00:00, 13.53it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=66.60]

Epoch 50:  63%|██████▎   | 17/27 [00:01<00:00, 13.77it/s, v_num=0, train_loss_step=66.70, train_loss_epoch=66.60]

Epoch 50:  63%|██████▎   | 17/27 [00:01<00:00, 13.75it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.60]

Epoch 50:  67%|██████▋   | 18/27 [00:01<00:00, 14.01it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.60]

Epoch 50:  67%|██████▋   | 18/27 [00:01<00:00, 14.00it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.60]

Epoch 50:  70%|███████   | 19/27 [00:01<00:00, 14.20it/s, v_num=0, train_loss_step=66.50, train_loss_epoch=66.60]

Epoch 50:  70%|███████   | 19/27 [00:01<00:00, 14.19it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=66.60]

Epoch 50:  74%|███████▍  | 20/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=66.80, train_loss_epoch=66.60]

Epoch 50:  74%|███████▍  | 20/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.60]

Epoch 50:  78%|███████▊  | 21/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.60]

Epoch 50:  78%|███████▊  | 21/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.60]

Epoch 50:  81%|████████▏ | 22/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.60]

Epoch 50:  81%|████████▏ | 22/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.60]

Epoch 50:  85%|████████▌ | 23/27 [00:01<00:00, 14.95it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.60]

Epoch 50:  85%|████████▌ | 23/27 [00:01<00:00, 14.94it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.60]

Epoch 50:  89%|████████▉ | 24/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.60]

Epoch 50:  89%|████████▉ | 24/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.60]

Epoch 50:  93%|█████████▎| 25/27 [00:01<00:00, 15.19it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.60]

Epoch 50:  93%|█████████▎| 25/27 [00:01<00:00, 15.18it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.60]

Epoch 50:  96%|█████████▋| 26/27 [00:01<00:00, 15.24it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.60]

Epoch 50:  96%|█████████▋| 26/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.60]

Epoch 50: 100%|██████████| 27/27 [00:01<00:00, 15.45it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.60]

Epoch 50: 100%|██████████| 27/27 [00:01<00:00, 15.44it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.60]

Epoch 50: 100%|██████████| 27/27 [00:01<00:00, 15.43it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]

Epoch 50:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]         

Epoch 51:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]

Epoch 51:   4%|▎         | 1/27 [00:00<00:09,  2.82it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]

Epoch 51:   4%|▎         | 1/27 [00:00<00:09,  2.80it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:   7%|▋         | 2/27 [00:00<00:05,  4.86it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:   7%|▋         | 2/27 [00:00<00:05,  4.85it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.30]

Epoch 51:  11%|█         | 3/27 [00:00<00:03,  6.46it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.30]

Epoch 51:  11%|█         | 3/27 [00:00<00:03,  6.45it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  15%|█▍        | 4/27 [00:00<00:03,  7.37it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  15%|█▍        | 4/27 [00:00<00:03,  7.36it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.30]

Epoch 51:  19%|█▊        | 5/27 [00:00<00:02,  8.40it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.30]

Epoch 51:  19%|█▊        | 5/27 [00:00<00:02,  8.39it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.30]

Epoch 51:  22%|██▏       | 6/27 [00:00<00:02,  8.98it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.30]

Epoch 51:  22%|██▏       | 6/27 [00:00<00:02,  8.97it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.30]

Epoch 51:  26%|██▌       | 7/27 [00:00<00:02,  9.69it/s, v_num=0, train_loss_step=66.60, train_loss_epoch=66.30]

Epoch 51:  26%|██▌       | 7/27 [00:00<00:02,  9.68it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  30%|██▉       | 8/27 [00:00<00:01, 10.15it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  30%|██▉       | 8/27 [00:00<00:01, 10.14it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.30]

Epoch 51:  33%|███▎      | 9/27 [00:00<00:01, 10.74it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.30]

Epoch 51:  33%|███▎      | 9/27 [00:00<00:01, 10.73it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.30]

Epoch 51:  37%|███▋      | 10/27 [00:00<00:01, 11.18it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.30]

Epoch 51:  37%|███▋      | 10/27 [00:00<00:01, 11.17it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]

Epoch 51:  41%|████      | 11/27 [00:00<00:01, 11.52it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]

Epoch 51:  41%|████      | 11/27 [00:00<00:01, 11.51it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.30]

Epoch 51:  44%|████▍     | 12/27 [00:01<00:01, 11.84it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.30]

Epoch 51:  44%|████▍     | 12/27 [00:01<00:01, 11.83it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.30]

Epoch 51:  48%|████▊     | 13/27 [00:01<00:01, 12.20it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.30]

Epoch 51:  48%|████▊     | 13/27 [00:01<00:01, 12.19it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.30]

Epoch 51:  52%|█████▏    | 14/27 [00:01<00:01, 12.53it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.30]

Epoch 51:  52%|█████▏    | 14/27 [00:01<00:01, 12.52it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]

Epoch 51:  56%|█████▌    | 15/27 [00:01<00:00, 12.86it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]

Epoch 51:  56%|█████▌    | 15/27 [00:01<00:00, 12.85it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.30]

Epoch 51:  59%|█████▉    | 16/27 [00:01<00:00, 13.13it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.30]

Epoch 51:  59%|█████▉    | 16/27 [00:01<00:00, 13.11it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  63%|██████▎   | 17/27 [00:01<00:00, 13.43it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  63%|██████▎   | 17/27 [00:01<00:00, 13.42it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.30]

Epoch 51:  67%|██████▋   | 18/27 [00:01<00:00, 13.64it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.30]

Epoch 51:  67%|██████▋   | 18/27 [00:01<00:00, 13.62it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]

Epoch 51:  70%|███████   | 19/27 [00:01<00:00, 13.87it/s, v_num=0, train_loss_step=66.10, train_loss_epoch=66.30]

Epoch 51:  70%|███████   | 19/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=66.30]

Epoch 51:  74%|███████▍  | 20/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=66.30]

Epoch 51:  74%|███████▍  | 20/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.30]

Epoch 51:  78%|███████▊  | 21/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.30]

Epoch 51:  78%|███████▊  | 21/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.30]

Epoch 51:  81%|████████▏ | 22/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.30]

Epoch 51:  81%|████████▏ | 22/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  85%|████████▌ | 23/27 [00:01<00:00, 14.57it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  85%|████████▌ | 23/27 [00:01<00:00, 14.57it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.30]

Epoch 51:  89%|████████▉ | 24/27 [00:01<00:00, 14.71it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.30]

Epoch 51:  89%|████████▉ | 24/27 [00:01<00:00, 14.70it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.30]

Epoch 51:  93%|█████████▎| 25/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.30]

Epoch 51:  93%|█████████▎| 25/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  96%|█████████▋| 26/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.30]

Epoch 51:  96%|█████████▋| 26/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.30]

Epoch 51: 100%|██████████| 27/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.30]

Epoch 51: 100%|██████████| 27/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.30]

Epoch 51: 100%|██████████| 27/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 51:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]         

Epoch 52:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 52:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 52:   4%|▎         | 1/27 [00:00<00:09,  2.88it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=66.00]

Epoch 52:   7%|▋         | 2/27 [00:00<00:05,  4.86it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=66.00]

Epoch 52:   7%|▋         | 2/27 [00:00<00:05,  4.85it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.00]

Epoch 52:  11%|█         | 3/27 [00:00<00:03,  6.38it/s, v_num=0, train_loss_step=66.40, train_loss_epoch=66.00]

Epoch 52:  11%|█         | 3/27 [00:00<00:03,  6.37it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.00]

Epoch 52:  15%|█▍        | 4/27 [00:00<00:02,  7.71it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.00]

Epoch 52:  15%|█▍        | 4/27 [00:00<00:02,  7.70it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.00]

Epoch 52:  19%|█▊        | 5/27 [00:00<00:02,  8.71it/s, v_num=0, train_loss_step=66.00, train_loss_epoch=66.00]

Epoch 52:  19%|█▊        | 5/27 [00:00<00:02,  8.68it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 52:  22%|██▏       | 6/27 [00:00<00:02,  9.48it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 52:  22%|██▏       | 6/27 [00:00<00:02,  9.47it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.00]

Epoch 52:  26%|██▌       | 7/27 [00:00<00:01, 10.23it/s, v_num=0, train_loss_step=66.20, train_loss_epoch=66.00]

Epoch 52:  26%|██▌       | 7/27 [00:00<00:01, 10.22it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 52:  30%|██▉       | 8/27 [00:00<00:01, 10.90it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 52:  30%|██▉       | 8/27 [00:00<00:01, 10.88it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.00]

Epoch 52:  33%|███▎      | 9/27 [00:00<00:01, 11.46it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=66.00]

Epoch 52:  33%|███▎      | 9/27 [00:00<00:01, 11.45it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=66.00]

Epoch 52:  37%|███▋      | 10/27 [00:00<00:01, 11.94it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=66.00]

Epoch 52:  37%|███▋      | 10/27 [00:00<00:01, 11.93it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=66.00]

Epoch 52:  41%|████      | 11/27 [00:00<00:01, 12.33it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=66.00]

Epoch 52:  41%|████      | 11/27 [00:00<00:01, 12.32it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=66.00]

Epoch 52:  44%|████▍     | 12/27 [00:00<00:01, 12.77it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=66.00]

Epoch 52:  44%|████▍     | 12/27 [00:00<00:01, 12.76it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  48%|████▊     | 13/27 [00:00<00:01, 13.12it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  48%|████▊     | 13/27 [00:00<00:01, 13.11it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=66.00]

Epoch 52:  52%|█████▏    | 14/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=66.00]

Epoch 52:  52%|█████▏    | 14/27 [00:01<00:00, 13.45it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 52:  56%|█████▌    | 15/27 [00:01<00:00, 13.72it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 52:  56%|█████▌    | 15/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=66.00]

Epoch 52:  59%|█████▉    | 16/27 [00:01<00:00, 13.97it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=66.00]

Epoch 52:  59%|█████▉    | 16/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  63%|██████▎   | 17/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  63%|██████▎   | 17/27 [00:01<00:00, 14.21it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  67%|██████▋   | 18/27 [00:01<00:00, 14.34it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  67%|██████▋   | 18/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  70%|███████   | 19/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  70%|███████   | 19/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=66.00]

Epoch 52:  74%|███████▍  | 20/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=66.00]

Epoch 52:  74%|███████▍  | 20/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  78%|███████▊  | 21/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  78%|███████▊  | 21/27 [00:01<00:00, 14.57it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=66.00]

Epoch 52:  81%|████████▏ | 22/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=66.00]

Epoch 52:  81%|████████▏ | 22/27 [00:01<00:00, 14.71it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=66.00]

Epoch 52:  85%|████████▌ | 23/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=66.00]

Epoch 52:  85%|████████▌ | 23/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=66.00]

Epoch 52:  89%|████████▉ | 24/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=66.00]

Epoch 52:  89%|████████▉ | 24/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  93%|█████████▎| 25/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=66.00]

Epoch 52:  93%|█████████▎| 25/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=66.00]

Epoch 52:  96%|█████████▋| 26/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=66.00]

Epoch 52:  96%|█████████▋| 26/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=66.00]

Epoch 52: 100%|██████████| 27/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=66.00]

Epoch 52: 100%|██████████| 27/27 [00:01<00:00, 15.46it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=66.00]

Epoch 52: 100%|██████████| 27/27 [00:01<00:00, 15.45it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=65.80]

Epoch 52:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=65.80]         

Epoch 53:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=65.80]

Epoch 53:   4%|▎         | 1/27 [00:00<00:08,  3.05it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=65.80]

Epoch 53:   4%|▎         | 1/27 [00:00<00:08,  3.02it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=65.80]

Epoch 53:   7%|▋         | 2/27 [00:00<00:05,  4.98it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=65.80]

Epoch 53:   7%|▋         | 2/27 [00:00<00:05,  4.97it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.80]

Epoch 53:  11%|█         | 3/27 [00:00<00:03,  6.48it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.80]

Epoch 53:  11%|█         | 3/27 [00:00<00:03,  6.47it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=65.80]

Epoch 53:  15%|█▍        | 4/27 [00:00<00:02,  7.71it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=65.80]

Epoch 53:  15%|█▍        | 4/27 [00:00<00:02,  7.69it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  19%|█▊        | 5/27 [00:00<00:02,  8.64it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  19%|█▊        | 5/27 [00:00<00:02,  8.63it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=65.80]

Epoch 53:  22%|██▏       | 6/27 [00:00<00:02,  9.50it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=65.80]

Epoch 53:  22%|██▏       | 6/27 [00:00<00:02,  9.49it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  26%|██▌       | 7/27 [00:00<00:01, 10.19it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  26%|██▌       | 7/27 [00:00<00:01, 10.17it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=65.80]

Epoch 53:  30%|██▉       | 8/27 [00:00<00:01, 10.71it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=65.80]

Epoch 53:  30%|██▉       | 8/27 [00:00<00:01, 10.70it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  33%|███▎      | 9/27 [00:00<00:01, 11.19it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  33%|███▎      | 9/27 [00:00<00:01, 11.17it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.80]

Epoch 53:  37%|███▋      | 10/27 [00:00<00:01, 11.55it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.80]

Epoch 53:  37%|███▋      | 10/27 [00:00<00:01, 11.54it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.80]

Epoch 53:  41%|████      | 11/27 [00:00<00:01, 12.03it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.80]

Epoch 53:  41%|████      | 11/27 [00:00<00:01, 12.02it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=65.80]

Epoch 53:  44%|████▍     | 12/27 [00:00<00:01, 12.45it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=65.80]

Epoch 53:  44%|████▍     | 12/27 [00:00<00:01, 12.43it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  48%|████▊     | 13/27 [00:01<00:01, 12.88it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  48%|████▊     | 13/27 [00:01<00:01, 12.86it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  52%|█████▏    | 14/27 [00:01<00:00, 13.25it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  52%|█████▏    | 14/27 [00:01<00:00, 13.24it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.80]

Epoch 53:  56%|█████▌    | 15/27 [00:01<00:00, 13.60it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.80]

Epoch 53:  56%|█████▌    | 15/27 [00:01<00:00, 13.59it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  59%|█████▉    | 16/27 [00:01<00:00, 13.82it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  59%|█████▉    | 16/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=65.80]

Epoch 53:  63%|██████▎   | 17/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=65.90, train_loss_epoch=65.80]

Epoch 53:  63%|██████▎   | 17/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  67%|██████▋   | 18/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  67%|██████▋   | 18/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  70%|███████   | 19/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  70%|███████   | 19/27 [00:01<00:00, 14.49it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  74%|███████▍  | 20/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.80]

Epoch 53:  74%|███████▍  | 20/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  78%|███████▊  | 21/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  78%|███████▊  | 21/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  81%|████████▏ | 22/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.80]

Epoch 53:  81%|████████▏ | 22/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.80]

Epoch 53:  85%|████████▌ | 23/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.80]

Epoch 53:  85%|████████▌ | 23/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.80]

Epoch 53:  89%|████████▉ | 24/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.80]

Epoch 53:  89%|████████▉ | 24/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.80]

Epoch 53:  93%|█████████▎| 25/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.80]

Epoch 53:  93%|█████████▎| 25/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.80]

Epoch 53:  96%|█████████▋| 26/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.80]

Epoch 53:  96%|█████████▋| 26/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=65.80]

Epoch 53: 100%|██████████| 27/27 [00:01<00:00, 15.48it/s, v_num=0, train_loss_step=66.30, train_loss_epoch=65.80]

Epoch 53: 100%|██████████| 27/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.80]

Epoch 53: 100%|██████████| 27/27 [00:01<00:00, 15.46it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]

Epoch 53:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]         

Epoch 54:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]

Epoch 54:   4%|▎         | 1/27 [00:00<00:08,  3.06it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]

Epoch 54:   4%|▎         | 1/27 [00:00<00:08,  3.04it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:   7%|▋         | 2/27 [00:00<00:04,  5.15it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:   7%|▋         | 2/27 [00:00<00:04,  5.14it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=65.50]

Epoch 54:  11%|█         | 3/27 [00:00<00:03,  6.69it/s, v_num=0, train_loss_step=65.80, train_loss_epoch=65.50]

Epoch 54:  11%|█         | 3/27 [00:00<00:03,  6.68it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.50]

Epoch 54:  15%|█▍        | 4/27 [00:00<00:02,  7.88it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.50]

Epoch 54:  15%|█▍        | 4/27 [00:00<00:02,  7.87it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=65.50]

Epoch 54:  19%|█▊        | 5/27 [00:00<00:02,  8.86it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=65.50]

Epoch 54:  19%|█▊        | 5/27 [00:00<00:02,  8.85it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.50]

Epoch 54:  22%|██▏       | 6/27 [00:00<00:02,  9.51it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.50]

Epoch 54:  22%|██▏       | 6/27 [00:00<00:02,  9.50it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]

Epoch 54:  26%|██▌       | 7/27 [00:00<00:01, 10.22it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]

Epoch 54:  26%|██▌       | 7/27 [00:00<00:01, 10.20it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]

Epoch 54:  30%|██▉       | 8/27 [00:00<00:01, 10.75it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]

Epoch 54:  30%|██▉       | 8/27 [00:00<00:01, 10.73it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  33%|███▎      | 9/27 [00:00<00:01, 11.29it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  33%|███▎      | 9/27 [00:00<00:01, 11.28it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.50]

Epoch 54:  37%|███▋      | 10/27 [00:00<00:01, 11.66it/s, v_num=0, train_loss_step=65.70, train_loss_epoch=65.50]

Epoch 54:  37%|███▋      | 10/27 [00:00<00:01, 11.65it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.50]

Epoch 54:  41%|████      | 11/27 [00:00<00:01, 12.09it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.50]

Epoch 54:  41%|████      | 11/27 [00:00<00:01, 12.08it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  44%|████▍     | 12/27 [00:00<00:01, 12.54it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  44%|████▍     | 12/27 [00:00<00:01, 12.53it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  48%|████▊     | 13/27 [00:01<00:01, 12.89it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  48%|████▊     | 13/27 [00:01<00:01, 12.88it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.50]

Epoch 54:  52%|█████▏    | 14/27 [00:01<00:00, 13.24it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.50]

Epoch 54:  52%|█████▏    | 14/27 [00:01<00:00, 13.23it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  56%|█████▌    | 15/27 [00:01<00:00, 13.53it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  56%|█████▌    | 15/27 [00:01<00:00, 13.52it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  59%|█████▉    | 16/27 [00:01<00:00, 13.82it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  59%|█████▉    | 16/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  63%|██████▎   | 17/27 [00:01<00:00, 14.08it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  63%|██████▎   | 17/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.50]

Epoch 54:  67%|██████▋   | 18/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.50]

Epoch 54:  67%|██████▋   | 18/27 [00:01<00:00, 14.25it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  70%|███████   | 19/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  70%|███████   | 19/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  74%|███████▍  | 20/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  74%|███████▍  | 20/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=65.50]

Epoch 54:  78%|███████▊  | 21/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=65.60, train_loss_epoch=65.50]

Epoch 54:  78%|███████▊  | 21/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  81%|████████▏ | 22/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.50]

Epoch 54:  81%|████████▏ | 22/27 [00:01<00:00, 14.96it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.50]

Epoch 54:  85%|████████▌ | 23/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.50]

Epoch 54:  85%|████████▌ | 23/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  89%|████████▉ | 24/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.50]

Epoch 54:  89%|████████▉ | 24/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.50]

Epoch 54:  93%|█████████▎| 25/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.50]

Epoch 54:  93%|█████████▎| 25/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]

Epoch 54:  96%|█████████▋| 26/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=65.50, train_loss_epoch=65.50]

Epoch 54:  96%|█████████▋| 26/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.50]

Epoch 54: 100%|██████████| 27/27 [00:01<00:00, 15.64it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.50]

Epoch 54: 100%|██████████| 27/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.50]

Epoch 54: 100%|██████████| 27/27 [00:01<00:00, 15.62it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.30]

Epoch 54:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.30]         

Epoch 55:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.30]

Epoch 55:   4%|▎         | 1/27 [00:00<00:08,  3.06it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.30]

Epoch 55:   4%|▎         | 1/27 [00:00<00:08,  3.04it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:   7%|▋         | 2/27 [00:00<00:04,  5.13it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:   7%|▋         | 2/27 [00:00<00:04,  5.11it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.30]

Epoch 55:  11%|█         | 3/27 [00:00<00:03,  6.76it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.30]

Epoch 55:  11%|█         | 3/27 [00:00<00:03,  6.74it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  15%|█▍        | 4/27 [00:00<00:02,  7.95it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  15%|█▍        | 4/27 [00:00<00:02,  7.94it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  19%|█▊        | 5/27 [00:00<00:02,  8.89it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  19%|█▊        | 5/27 [00:00<00:02,  8.88it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  22%|██▏       | 6/27 [00:00<00:02,  9.66it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  22%|██▏       | 6/27 [00:00<00:02,  9.65it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  26%|██▌       | 7/27 [00:00<00:01, 10.39it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  26%|██▌       | 7/27 [00:00<00:01, 10.38it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.30]

Epoch 55:  30%|██▉       | 8/27 [00:00<00:01, 10.97it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.30]

Epoch 55:  30%|██▉       | 8/27 [00:00<00:01, 10.95it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  33%|███▎      | 9/27 [00:00<00:01, 11.49it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  33%|███▎      | 9/27 [00:00<00:01, 11.48it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.30]

Epoch 55:  37%|███▋      | 10/27 [00:00<00:01, 11.97it/s, v_num=0, train_loss_step=65.40, train_loss_epoch=65.30]

Epoch 55:  37%|███▋      | 10/27 [00:00<00:01, 11.96it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  41%|████      | 11/27 [00:00<00:01, 12.40it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  41%|████      | 11/27 [00:00<00:01, 12.39it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  44%|████▍     | 12/27 [00:00<00:01, 12.80it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  44%|████▍     | 12/27 [00:00<00:01, 12.78it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  48%|████▊     | 13/27 [00:00<00:01, 13.16it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  48%|████▊     | 13/27 [00:00<00:01, 13.15it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.30]

Epoch 55:  52%|█████▏    | 14/27 [00:01<00:00, 13.52it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.30]

Epoch 55:  52%|█████▏    | 14/27 [00:01<00:00, 13.51it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  56%|█████▌    | 15/27 [00:01<00:00, 13.83it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.30]

Epoch 55:  56%|█████▌    | 15/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=65.30]

Epoch 55:  59%|█████▉    | 16/27 [00:01<00:00, 14.10it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=65.30]

Epoch 55:  59%|█████▉    | 16/27 [00:01<00:00, 14.09it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.30]

Epoch 55:  63%|██████▎   | 17/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.30]

Epoch 55:  63%|██████▎   | 17/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.30]

Epoch 55:  67%|██████▋   | 18/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.30]

Epoch 55:  67%|██████▋   | 18/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  70%|███████   | 19/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  70%|███████   | 19/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  74%|███████▍  | 20/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  74%|███████▍  | 20/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  78%|███████▊  | 21/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  78%|███████▊  | 21/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.30]

Epoch 55:  81%|████████▏ | 22/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.30]

Epoch 55:  81%|████████▏ | 22/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.30]

Epoch 55:  85%|████████▌ | 23/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.30]

Epoch 55:  85%|████████▌ | 23/27 [00:01<00:00, 15.08it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  89%|████████▉ | 24/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  89%|████████▉ | 24/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=65.30]

Epoch 55:  93%|█████████▎| 25/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=65.30]

Epoch 55:  93%|█████████▎| 25/27 [00:01<00:00, 15.34it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  96%|█████████▋| 26/27 [00:01<00:00, 15.45it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.30]

Epoch 55:  96%|█████████▋| 26/27 [00:01<00:00, 15.44it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.30]

Epoch 55: 100%|██████████| 27/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.30]

Epoch 55: 100%|██████████| 27/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.30]

Epoch 55: 100%|██████████| 27/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.10]

Epoch 55:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.10]         

Epoch 56:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.10]

Epoch 56:   4%|▎         | 1/27 [00:00<00:08,  2.93it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.10]

Epoch 56:   4%|▎         | 1/27 [00:00<00:08,  2.92it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:   7%|▋         | 2/27 [00:00<00:04,  5.03it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:   7%|▋         | 2/27 [00:00<00:04,  5.02it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  11%|█         | 3/27 [00:00<00:03,  6.60it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  11%|█         | 3/27 [00:00<00:03,  6.57it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.10]

Epoch 56:  15%|█▍        | 4/27 [00:00<00:03,  7.62it/s, v_num=0, train_loss_step=65.20, train_loss_epoch=65.10]

Epoch 56:  15%|█▍        | 4/27 [00:00<00:03,  7.61it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  19%|█▊        | 5/27 [00:00<00:02,  8.58it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  19%|█▊        | 5/27 [00:00<00:02,  8.56it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.10]

Epoch 56:  22%|██▏       | 6/27 [00:00<00:02,  9.40it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.10]

Epoch 56:  22%|██▏       | 6/27 [00:00<00:02,  9.39it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.10]

Epoch 56:  26%|██▌       | 7/27 [00:00<00:01, 10.04it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.10]

Epoch 56:  26%|██▌       | 7/27 [00:00<00:01, 10.03it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.10]

Epoch 56:  30%|██▉       | 8/27 [00:00<00:01, 10.64it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.10]

Epoch 56:  30%|██▉       | 8/27 [00:00<00:01, 10.63it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.10]

Epoch 56:  33%|███▎      | 9/27 [00:00<00:01, 11.22it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.10]

Epoch 56:  33%|███▎      | 9/27 [00:00<00:01, 11.21it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.10]

Epoch 56:  37%|███▋      | 10/27 [00:00<00:01, 11.75it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=65.10]

Epoch 56:  37%|███▋      | 10/27 [00:00<00:01, 11.73it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.10]

Epoch 56:  41%|████      | 11/27 [00:00<00:01, 12.18it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.10]

Epoch 56:  41%|████      | 11/27 [00:00<00:01, 12.17it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.10]

Epoch 56:  44%|████▍     | 12/27 [00:00<00:01, 12.63it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.10]

Epoch 56:  44%|████▍     | 12/27 [00:00<00:01, 12.62it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  48%|████▊     | 13/27 [00:00<00:01, 13.02it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  48%|████▊     | 13/27 [00:00<00:01, 13.01it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=65.10]

Epoch 56:  52%|█████▏    | 14/27 [00:01<00:00, 13.34it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=65.10]

Epoch 56:  52%|█████▏    | 14/27 [00:01<00:00, 13.33it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.10]

Epoch 56:  56%|█████▌    | 15/27 [00:01<00:00, 13.68it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.10]

Epoch 56:  56%|█████▌    | 15/27 [00:01<00:00, 13.67it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.10]

Epoch 56:  59%|█████▉    | 16/27 [00:01<00:00, 13.82it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=65.10]

Epoch 56:  59%|█████▉    | 16/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  63%|██████▎   | 17/27 [00:01<00:00, 14.12it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  63%|██████▎   | 17/27 [00:01<00:00, 14.11it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.10]

Epoch 56:  67%|██████▋   | 18/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.10]

Epoch 56:  67%|██████▋   | 18/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.10]

Epoch 56:  70%|███████   | 19/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=65.10]

Epoch 56:  70%|███████   | 19/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=65.10]

Epoch 56:  74%|███████▍  | 20/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=65.10]

Epoch 56:  74%|███████▍  | 20/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.10]

Epoch 56:  78%|███████▊  | 21/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.10]

Epoch 56:  78%|███████▊  | 21/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=65.10]

Epoch 56:  81%|████████▏ | 22/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=65.10]

Epoch 56:  81%|████████▏ | 22/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=65.10]

Epoch 56:  85%|████████▌ | 23/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=65.10]

Epoch 56:  85%|████████▌ | 23/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.10]

Epoch 56:  89%|████████▉ | 24/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=65.10]

Epoch 56:  89%|████████▉ | 24/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=65.10]

Epoch 56:  93%|█████████▎| 25/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=65.10]

Epoch 56:  93%|█████████▎| 25/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  96%|█████████▋| 26/27 [00:01<00:00, 15.52it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56:  96%|█████████▋| 26/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56: 100%|██████████| 27/27 [00:01<00:00, 15.74it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=65.10]

Epoch 56: 100%|██████████| 27/27 [00:01<00:00, 15.74it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=65.10]

Epoch 56: 100%|██████████| 27/27 [00:01<00:00, 15.72it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]

Epoch 56:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]         

Epoch 57:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]

Epoch 57:   4%|▎         | 1/27 [00:00<00:08,  2.92it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]

Epoch 57:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]

Epoch 57:   7%|▋         | 2/27 [00:00<00:04,  5.03it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]

Epoch 57:   7%|▋         | 2/27 [00:00<00:04,  5.02it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  11%|█         | 3/27 [00:00<00:03,  6.48it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  11%|█         | 3/27 [00:00<00:03,  6.47it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=64.90]

Epoch 57:  15%|█▍        | 4/27 [00:00<00:03,  7.64it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=64.90]

Epoch 57:  15%|█▍        | 4/27 [00:00<00:03,  7.63it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=64.90]

Epoch 57:  19%|█▊        | 5/27 [00:00<00:02,  8.53it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=64.90]

Epoch 57:  19%|█▊        | 5/27 [00:00<00:02,  8.51it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.90]

Epoch 57:  22%|██▏       | 6/27 [00:00<00:02,  9.31it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.90]

Epoch 57:  22%|██▏       | 6/27 [00:00<00:02,  9.30it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.90]

Epoch 57:  26%|██▌       | 7/27 [00:00<00:02,  9.92it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.90]

Epoch 57:  26%|██▌       | 7/27 [00:00<00:02,  9.91it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.90]

Epoch 57:  30%|██▉       | 8/27 [00:00<00:01, 10.40it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.90]

Epoch 57:  30%|██▉       | 8/27 [00:00<00:01, 10.39it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=64.90]

Epoch 57:  33%|███▎      | 9/27 [00:00<00:01, 10.79it/s, v_num=0, train_loss_step=64.90, train_loss_epoch=64.90]

Epoch 57:  33%|███▎      | 9/27 [00:00<00:01, 10.78it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  37%|███▋      | 10/27 [00:00<00:01, 11.28it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  37%|███▋      | 10/27 [00:00<00:01, 11.26it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.90]

Epoch 57:  41%|████      | 11/27 [00:00<00:01, 11.61it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.90]

Epoch 57:  41%|████      | 11/27 [00:00<00:01, 11.59it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.90]

Epoch 57:  44%|████▍     | 12/27 [00:01<00:01, 11.99it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.90]

Epoch 57:  44%|████▍     | 12/27 [00:01<00:01, 11.98it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  48%|████▊     | 13/27 [00:01<00:01, 12.37it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  48%|████▊     | 13/27 [00:01<00:01, 12.36it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  52%|█████▏    | 14/27 [00:01<00:01, 12.76it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  52%|█████▏    | 14/27 [00:01<00:01, 12.75it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=64.90]

Epoch 57:  56%|█████▌    | 15/27 [00:01<00:00, 13.17it/s, v_num=0, train_loss_step=65.10, train_loss_epoch=64.90]

Epoch 57:  56%|█████▌    | 15/27 [00:01<00:00, 13.16it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  59%|█████▉    | 16/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  59%|█████▉    | 16/27 [00:01<00:00, 13.45it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=64.90]

Epoch 57:  63%|██████▎   | 17/27 [00:01<00:00, 13.72it/s, v_num=0, train_loss_step=65.30, train_loss_epoch=64.90]

Epoch 57:  63%|██████▎   | 17/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.90]

Epoch 57:  67%|██████▋   | 18/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.90]

Epoch 57:  67%|██████▋   | 18/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]

Epoch 57:  70%|███████   | 19/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]

Epoch 57:  70%|███████   | 19/27 [00:01<00:00, 14.16it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.90]

Epoch 57:  74%|███████▍  | 20/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.90]

Epoch 57:  74%|███████▍  | 20/27 [00:01<00:00, 14.34it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  78%|███████▊  | 21/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  78%|███████▊  | 21/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  81%|████████▏ | 22/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  81%|████████▏ | 22/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]

Epoch 57:  85%|████████▌ | 23/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.90]

Epoch 57:  85%|████████▌ | 23/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  89%|████████▉ | 24/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  89%|████████▉ | 24/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  93%|█████████▎| 25/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.90]

Epoch 57:  93%|█████████▎| 25/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  96%|█████████▋| 26/27 [00:01<00:00, 15.24it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.90]

Epoch 57:  96%|█████████▋| 26/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.90]

Epoch 57: 100%|██████████| 27/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.90]

Epoch 57: 100%|██████████| 27/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.90]

Epoch 57: 100%|██████████| 27/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]

Epoch 57:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]         

Epoch 58:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]

Epoch 58:   4%|▎         | 1/27 [00:00<00:08,  2.99it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]

Epoch 58:   4%|▎         | 1/27 [00:00<00:08,  2.96it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58:   7%|▋         | 2/27 [00:00<00:04,  5.07it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58:   7%|▋         | 2/27 [00:00<00:04,  5.06it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=64.70]

Epoch 58:  11%|█         | 3/27 [00:00<00:03,  6.57it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=64.70]

Epoch 58:  11%|█         | 3/27 [00:00<00:03,  6.56it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=64.70]

Epoch 58:  15%|█▍        | 4/27 [00:00<00:02,  7.84it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=64.70]

Epoch 58:  15%|█▍        | 4/27 [00:00<00:02,  7.83it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.70]

Epoch 58:  19%|█▊        | 5/27 [00:00<00:02,  8.83it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.70]

Epoch 58:  19%|█▊        | 5/27 [00:00<00:02,  8.82it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  22%|██▏       | 6/27 [00:00<00:02,  9.56it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  22%|██▏       | 6/27 [00:00<00:02,  9.55it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]

Epoch 58:  26%|██▌       | 7/27 [00:00<00:01, 10.33it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]

Epoch 58:  26%|██▌       | 7/27 [00:00<00:01, 10.31it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.70]

Epoch 58:  30%|██▉       | 8/27 [00:00<00:01, 10.98it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.70]

Epoch 58:  30%|██▉       | 8/27 [00:00<00:01, 10.96it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  33%|███▎      | 9/27 [00:00<00:01, 11.54it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  33%|███▎      | 9/27 [00:00<00:01, 11.52it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.70]

Epoch 58:  37%|███▋      | 10/27 [00:00<00:01, 12.06it/s, v_num=0, train_loss_step=65.00, train_loss_epoch=64.70]

Epoch 58:  37%|███▋      | 10/27 [00:00<00:01, 12.04it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58:  41%|████      | 11/27 [00:00<00:01, 12.47it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58:  41%|████      | 11/27 [00:00<00:01, 12.45it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  44%|████▍     | 12/27 [00:00<00:01, 12.88it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  44%|████▍     | 12/27 [00:00<00:01, 12.87it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.70]

Epoch 58:  48%|████▊     | 13/27 [00:00<00:01, 13.26it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.70]

Epoch 58:  48%|████▊     | 13/27 [00:00<00:01, 13.25it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.70]

Epoch 58:  52%|█████▏    | 14/27 [00:01<00:00, 13.55it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.70]

Epoch 58:  52%|█████▏    | 14/27 [00:01<00:00, 13.54it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.70]

Epoch 58:  56%|█████▌    | 15/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.70]

Epoch 58:  56%|█████▌    | 15/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.70]

Epoch 58:  59%|█████▉    | 16/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.70]

Epoch 58:  59%|█████▉    | 16/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.70]

Epoch 58:  63%|██████▎   | 17/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.70]

Epoch 58:  63%|██████▎   | 17/27 [00:01<00:00, 14.31it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.70]

Epoch 58:  67%|██████▋   | 18/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.70]

Epoch 58:  67%|██████▋   | 18/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  70%|███████   | 19/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  70%|███████   | 19/27 [00:01<00:00, 14.49it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]

Epoch 58:  74%|███████▍  | 20/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]

Epoch 58:  74%|███████▍  | 20/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58:  78%|███████▊  | 21/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58:  78%|███████▊  | 21/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58:  81%|████████▏ | 22/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58:  81%|████████▏ | 22/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.70]

Epoch 58:  85%|████████▌ | 23/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.70]

Epoch 58:  85%|████████▌ | 23/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.70]

Epoch 58:  89%|████████▉ | 24/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.70]

Epoch 58:  89%|████████▉ | 24/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  93%|█████████▎| 25/27 [00:01<00:00, 15.34it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.70]

Epoch 58:  93%|█████████▎| 25/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]

Epoch 58:  96%|█████████▋| 26/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.70]

Epoch 58:  96%|█████████▋| 26/27 [00:01<00:00, 15.46it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58: 100%|██████████| 27/27 [00:01<00:00, 15.67it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.70]

Epoch 58: 100%|██████████| 27/27 [00:01<00:00, 15.67it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.70]

Epoch 58: 100%|██████████| 27/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.40]

Epoch 58:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.40]         

Epoch 59:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.40]

Epoch 59:   4%|▎         | 1/27 [00:00<00:09,  2.88it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.40]

Epoch 59:   4%|▎         | 1/27 [00:00<00:09,  2.86it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=64.40]

Epoch 59:   7%|▋         | 2/27 [00:00<00:05,  4.90it/s, v_num=0, train_loss_step=64.70, train_loss_epoch=64.40]

Epoch 59:   7%|▋         | 2/27 [00:00<00:05,  4.89it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.40]

Epoch 59:  11%|█         | 3/27 [00:00<00:03,  6.40it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.40]

Epoch 59:  11%|█         | 3/27 [00:00<00:03,  6.38it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.40]

Epoch 59:  15%|█▍        | 4/27 [00:00<00:03,  7.60it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.40]

Epoch 59:  15%|█▍        | 4/27 [00:00<00:03,  7.59it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.40]

Epoch 59:  19%|█▊        | 5/27 [00:00<00:02,  8.62it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.40]

Epoch 59:  19%|█▊        | 5/27 [00:00<00:02,  8.61it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.40]

Epoch 59:  22%|██▏       | 6/27 [00:00<00:02,  9.31it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.40]

Epoch 59:  22%|██▏       | 6/27 [00:00<00:02,  9.30it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.40]

Epoch 59:  26%|██▌       | 7/27 [00:00<00:01, 10.00it/s, v_num=0, train_loss_step=64.60, train_loss_epoch=64.40]

Epoch 59:  26%|██▌       | 7/27 [00:00<00:02,  9.99it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.40]

Epoch 59:  30%|██▉       | 8/27 [00:00<00:01, 10.58it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.40]

Epoch 59:  30%|██▉       | 8/27 [00:00<00:01, 10.56it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.40]

Epoch 59:  33%|███▎      | 9/27 [00:00<00:01, 11.12it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.40]

Epoch 59:  33%|███▎      | 9/27 [00:00<00:01, 11.11it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.40]

Epoch 59:  37%|███▋      | 10/27 [00:00<00:01, 11.61it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.40]

Epoch 59:  37%|███▋      | 10/27 [00:00<00:01, 11.60it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.40]

Epoch 59:  41%|████      | 11/27 [00:00<00:01, 12.02it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.40]

Epoch 59:  41%|████      | 11/27 [00:00<00:01, 12.01it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.40]

Epoch 59:  44%|████▍     | 12/27 [00:00<00:01, 12.44it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.40]

Epoch 59:  44%|████▍     | 12/27 [00:00<00:01, 12.43it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.40]

Epoch 59:  48%|████▊     | 13/27 [00:01<00:01, 12.81it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.40]

Epoch 59:  48%|████▊     | 13/27 [00:01<00:01, 12.80it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.40]

Epoch 59:  52%|█████▏    | 14/27 [00:01<00:00, 13.16it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.40]

Epoch 59:  52%|█████▏    | 14/27 [00:01<00:00, 13.15it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.40]

Epoch 59:  56%|█████▌    | 15/27 [00:01<00:00, 13.51it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.40]

Epoch 59:  56%|█████▌    | 15/27 [00:01<00:00, 13.50it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.40]

Epoch 59:  59%|█████▉    | 16/27 [00:01<00:00, 13.76it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.40]

Epoch 59:  59%|█████▉    | 16/27 [00:01<00:00, 13.75it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.40]

Epoch 59:  63%|██████▎   | 17/27 [00:01<00:00, 14.03it/s, v_num=0, train_loss_step=64.80, train_loss_epoch=64.40]

Epoch 59:  63%|██████▎   | 17/27 [00:01<00:00, 14.02it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.40]

Epoch 59:  67%|██████▋   | 18/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.40]

Epoch 59:  67%|██████▋   | 18/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.40]

Epoch 59:  70%|███████   | 19/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.40]

Epoch 59:  70%|███████   | 19/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.40]

Epoch 59:  74%|███████▍  | 20/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.40]

Epoch 59:  74%|███████▍  | 20/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.40]

Epoch 59:  78%|███████▊  | 21/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.40]

Epoch 59:  78%|███████▊  | 21/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.40]

Epoch 59:  81%|████████▏ | 22/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.40]

Epoch 59:  81%|████████▏ | 22/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.40]

Epoch 59:  85%|████████▌ | 23/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.40]

Epoch 59:  85%|████████▌ | 23/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.40]

Epoch 59:  89%|████████▉ | 24/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.40]

Epoch 59:  89%|████████▉ | 24/27 [00:01<00:00, 15.04it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.40]

Epoch 59:  93%|█████████▎| 25/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.40]

Epoch 59:  93%|█████████▎| 25/27 [00:01<00:00, 15.19it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.40]

Epoch 59:  96%|█████████▋| 26/27 [00:01<00:00, 15.32it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.40]

Epoch 59:  96%|█████████▋| 26/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.40]

Epoch 59: 100%|██████████| 27/27 [00:01<00:00, 15.52it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.40]

Epoch 59: 100%|██████████| 27/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.40]

Epoch 59: 100%|██████████| 27/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.20]

Epoch 59:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.20]         

Epoch 60:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.20]

Epoch 60:   4%|▎         | 1/27 [00:00<00:08,  2.96it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.20]

Epoch 60:   4%|▎         | 1/27 [00:00<00:08,  2.94it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.20]

Epoch 60:   7%|▋         | 2/27 [00:00<00:04,  5.01it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.20]

Epoch 60:   7%|▋         | 2/27 [00:00<00:05,  5.00it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  11%|█         | 3/27 [00:00<00:03,  6.69it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  11%|█         | 3/27 [00:00<00:03,  6.68it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.20]

Epoch 60:  15%|█▍        | 4/27 [00:00<00:02,  7.95it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.20]

Epoch 60:  15%|█▍        | 4/27 [00:00<00:02,  7.94it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.20]

Epoch 60:  19%|█▊        | 5/27 [00:00<00:02,  8.85it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.20]

Epoch 60:  19%|█▊        | 5/27 [00:00<00:02,  8.83it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.20]

Epoch 60:  22%|██▏       | 6/27 [00:00<00:02,  9.73it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.20]

Epoch 60:  22%|██▏       | 6/27 [00:00<00:02,  9.71it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.20]

Epoch 60:  26%|██▌       | 7/27 [00:00<00:01, 10.47it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.20]

Epoch 60:  26%|██▌       | 7/27 [00:00<00:01, 10.46it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  30%|██▉       | 8/27 [00:00<00:01, 11.02it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  30%|██▉       | 8/27 [00:00<00:01, 11.00it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.20]

Epoch 60:  33%|███▎      | 9/27 [00:00<00:01, 11.38it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.20]

Epoch 60:  33%|███▎      | 9/27 [00:00<00:01, 11.36it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.20]

Epoch 60:  37%|███▋      | 10/27 [00:00<00:01, 11.79it/s, v_num=0, train_loss_step=64.50, train_loss_epoch=64.20]

Epoch 60:  37%|███▋      | 10/27 [00:00<00:01, 11.78it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.20]

Epoch 60:  41%|████      | 11/27 [00:00<00:01, 12.14it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=64.20]

Epoch 60:  41%|████      | 11/27 [00:00<00:01, 12.13it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.20]

Epoch 60:  44%|████▍     | 12/27 [00:00<00:01, 12.61it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.20]

Epoch 60:  44%|████▍     | 12/27 [00:00<00:01, 12.60it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  48%|████▊     | 13/27 [00:01<00:01, 12.98it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  48%|████▊     | 13/27 [00:01<00:01, 12.97it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.20]

Epoch 60:  52%|█████▏    | 14/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.20]

Epoch 60:  52%|█████▏    | 14/27 [00:01<00:00, 13.28it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.20]

Epoch 60:  56%|█████▌    | 15/27 [00:01<00:00, 13.61it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.20]

Epoch 60:  56%|█████▌    | 15/27 [00:01<00:00, 13.60it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=64.20]

Epoch 60:  59%|█████▉    | 16/27 [00:01<00:00, 13.89it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=64.20]

Epoch 60:  59%|█████▉    | 16/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.20]

Epoch 60:  63%|██████▎   | 17/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.20]

Epoch 60:  63%|██████▎   | 17/27 [00:01<00:00, 14.14it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.20]

Epoch 60:  67%|██████▋   | 18/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.20]

Epoch 60:  67%|██████▋   | 18/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.20]

Epoch 60:  70%|███████   | 19/27 [00:01<00:00, 14.57it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.20]

Epoch 60:  70%|███████   | 19/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.20]

Epoch 60:  74%|███████▍  | 20/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.20]

Epoch 60:  74%|███████▍  | 20/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.20]

Epoch 60:  78%|███████▊  | 21/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.20]

Epoch 60:  78%|███████▊  | 21/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.20]

Epoch 60:  81%|████████▏ | 22/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.20]

Epoch 60:  81%|████████▏ | 22/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=64.20]

Epoch 60:  85%|████████▌ | 23/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=64.20]

Epoch 60:  85%|████████▌ | 23/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  89%|████████▉ | 24/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  89%|████████▉ | 24/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.20]

Epoch 60:  93%|█████████▎| 25/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.20]

Epoch 60:  93%|█████████▎| 25/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  96%|█████████▋| 26/27 [00:01<00:00, 15.62it/s, v_num=0, train_loss_step=64.20, train_loss_epoch=64.20]

Epoch 60:  96%|█████████▋| 26/27 [00:01<00:00, 15.61it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.20]

Epoch 60: 100%|██████████| 27/27 [00:01<00:00, 15.81it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.20]

Epoch 60: 100%|██████████| 27/27 [00:01<00:00, 15.80it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.20]

Epoch 60: 100%|██████████| 27/27 [00:01<00:00, 15.79it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.10]

Epoch 60:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.10]         

Epoch 61:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.10]

Epoch 61:   4%|▎         | 1/27 [00:00<00:08,  3.08it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.10]

Epoch 61:   4%|▎         | 1/27 [00:00<00:08,  3.06it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.10]

Epoch 61:   7%|▋         | 2/27 [00:00<00:04,  5.15it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.10]

Epoch 61:   7%|▋         | 2/27 [00:00<00:04,  5.14it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.10]

Epoch 61:  11%|█         | 3/27 [00:00<00:03,  6.84it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.10]

Epoch 61:  11%|█         | 3/27 [00:00<00:03,  6.82it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  15%|█▍        | 4/27 [00:00<00:02,  7.80it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  15%|█▍        | 4/27 [00:00<00:02,  7.79it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  19%|█▊        | 5/27 [00:00<00:02,  8.87it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  19%|█▊        | 5/27 [00:00<00:02,  8.86it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.10]

Epoch 61:  22%|██▏       | 6/27 [00:00<00:02,  9.64it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.10]

Epoch 61:  22%|██▏       | 6/27 [00:00<00:02,  9.63it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.10]

Epoch 61:  26%|██▌       | 7/27 [00:00<00:01, 10.33it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.10]

Epoch 61:  26%|██▌       | 7/27 [00:00<00:01, 10.31it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  30%|██▉       | 8/27 [00:00<00:01, 10.94it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  30%|██▉       | 8/27 [00:00<00:01, 10.93it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  33%|███▎      | 9/27 [00:00<00:01, 11.47it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  33%|███▎      | 9/27 [00:00<00:01, 11.46it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  37%|███▋      | 10/27 [00:00<00:01, 11.95it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  37%|███▋      | 10/27 [00:00<00:01, 11.93it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  41%|████      | 11/27 [00:00<00:01, 12.35it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  41%|████      | 11/27 [00:00<00:01, 12.34it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  44%|████▍     | 12/27 [00:00<00:01, 12.80it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  44%|████▍     | 12/27 [00:00<00:01, 12.78it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.10]

Epoch 61:  48%|████▊     | 13/27 [00:00<00:01, 13.14it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.10]

Epoch 61:  48%|████▊     | 13/27 [00:00<00:01, 13.11it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  52%|█████▏    | 14/27 [00:01<00:00, 13.44it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  52%|█████▏    | 14/27 [00:01<00:00, 13.43it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  56%|█████▌    | 15/27 [00:01<00:00, 13.61it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  56%|█████▌    | 15/27 [00:01<00:00, 13.59it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.10]

Epoch 61:  59%|█████▉    | 16/27 [00:01<00:00, 13.89it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=64.10]

Epoch 61:  59%|█████▉    | 16/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  63%|██████▎   | 17/27 [00:01<00:00, 14.16it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  63%|██████▎   | 17/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=64.10]

Epoch 61:  67%|██████▋   | 18/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=64.10]

Epoch 61:  67%|██████▋   | 18/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  70%|███████   | 19/27 [00:01<00:00, 14.59it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61:  70%|███████   | 19/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  74%|███████▍  | 20/27 [00:01<00:00, 14.75it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  74%|███████▍  | 20/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  78%|███████▊  | 21/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  78%|███████▊  | 21/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.10]

Epoch 61:  81%|████████▏ | 22/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=64.10]

Epoch 61:  81%|████████▏ | 22/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.10]

Epoch 61:  85%|████████▌ | 23/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.10]

Epoch 61:  85%|████████▌ | 23/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.10]

Epoch 61:  89%|████████▉ | 24/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.10]

Epoch 61:  89%|████████▉ | 24/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.10]

Epoch 61:  93%|█████████▎| 25/27 [00:01<00:00, 15.42it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=64.10]

Epoch 61:  93%|█████████▎| 25/27 [00:01<00:00, 15.41it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  96%|█████████▋| 26/27 [00:01<00:00, 15.55it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=64.10]

Epoch 61:  96%|█████████▋| 26/27 [00:01<00:00, 15.54it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61: 100%|██████████| 27/27 [00:01<00:00, 15.76it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=64.10]

Epoch 61: 100%|██████████| 27/27 [00:01<00:00, 15.75it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=64.10]

Epoch 61: 100%|██████████| 27/27 [00:01<00:00, 15.73it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=63.90]

Epoch 61:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=63.90]         

Epoch 62:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=63.90]

Epoch 62:   4%|▎         | 1/27 [00:00<00:08,  3.12it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=63.90]

Epoch 62:   4%|▎         | 1/27 [00:00<00:08,  3.09it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.90]

Epoch 62:   7%|▋         | 2/27 [00:00<00:04,  5.03it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.90]

Epoch 62:   7%|▋         | 2/27 [00:00<00:04,  5.01it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62:  11%|█         | 3/27 [00:00<00:03,  6.49it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62:  11%|█         | 3/27 [00:00<00:03,  6.47it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.90]

Epoch 62:  15%|█▍        | 4/27 [00:00<00:02,  7.77it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.90]

Epoch 62:  15%|█▍        | 4/27 [00:00<00:02,  7.76it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62:  19%|█▊        | 5/27 [00:00<00:02,  8.70it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62:  19%|█▊        | 5/27 [00:00<00:02,  8.69it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=63.90]

Epoch 62:  22%|██▏       | 6/27 [00:00<00:02,  9.45it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=63.90]

Epoch 62:  22%|██▏       | 6/27 [00:00<00:02,  9.44it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=63.90]

Epoch 62:  26%|██▌       | 7/27 [00:00<00:01, 10.03it/s, v_num=0, train_loss_step=64.10, train_loss_epoch=63.90]

Epoch 62:  26%|██▌       | 7/27 [00:00<00:01, 10.02it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=63.90]

Epoch 62:  30%|██▉       | 8/27 [00:00<00:01, 10.64it/s, v_num=0, train_loss_step=64.40, train_loss_epoch=63.90]

Epoch 62:  30%|██▉       | 8/27 [00:00<00:01, 10.62it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62:  33%|███▎      | 9/27 [00:00<00:01, 11.16it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62:  33%|███▎      | 9/27 [00:00<00:01, 11.15it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=63.90]

Epoch 62:  37%|███▋      | 10/27 [00:00<00:01, 11.66it/s, v_num=0, train_loss_step=64.30, train_loss_epoch=63.90]

Epoch 62:  37%|███▋      | 10/27 [00:00<00:01, 11.65it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.90]

Epoch 62:  41%|████      | 11/27 [00:00<00:01, 12.07it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.90]

Epoch 62:  41%|████      | 11/27 [00:00<00:01, 12.06it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.90]

Epoch 62:  44%|████▍     | 12/27 [00:00<00:01, 12.47it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.90]

Epoch 62:  44%|████▍     | 12/27 [00:00<00:01, 12.46it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62:  48%|████▊     | 13/27 [00:01<00:01, 12.79it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62:  48%|████▊     | 13/27 [00:01<00:01, 12.78it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.90]

Epoch 62:  52%|█████▏    | 14/27 [00:01<00:00, 13.16it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.90]

Epoch 62:  52%|█████▏    | 14/27 [00:01<00:00, 13.15it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.90]

Epoch 62:  56%|█████▌    | 15/27 [00:01<00:00, 13.41it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.90]

Epoch 62:  56%|█████▌    | 15/27 [00:01<00:00, 13.40it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.90]

Epoch 62:  59%|█████▉    | 16/27 [00:01<00:00, 13.66it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.90]

Epoch 62:  59%|█████▉    | 16/27 [00:01<00:00, 13.65it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.90]

Epoch 62:  63%|██████▎   | 17/27 [00:01<00:00, 13.89it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.90]

Epoch 62:  63%|██████▎   | 17/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=63.90]

Epoch 62:  67%|██████▋   | 18/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=63.90]

Epoch 62:  67%|██████▋   | 18/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.90]

Epoch 62:  70%|███████   | 19/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.90]

Epoch 62:  70%|███████   | 19/27 [00:01<00:00, 14.25it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=63.90]

Epoch 62:  74%|███████▍  | 20/27 [00:01<00:00, 14.42it/s, v_num=0, train_loss_step=64.00, train_loss_epoch=63.90]

Epoch 62:  74%|███████▍  | 20/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.90]

Epoch 62:  78%|███████▊  | 21/27 [00:01<00:00, 14.48it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.90]

Epoch 62:  78%|███████▊  | 21/27 [00:01<00:00, 14.48it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.90]

Epoch 62:  81%|████████▏ | 22/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.90]

Epoch 62:  81%|████████▏ | 22/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.90]

Epoch 62:  85%|████████▌ | 23/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.90]

Epoch 62:  85%|████████▌ | 23/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.90]

Epoch 62:  89%|████████▉ | 24/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.90]

Epoch 62:  89%|████████▉ | 24/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.90]

Epoch 62:  93%|█████████▎| 25/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.90]

Epoch 62:  93%|█████████▎| 25/27 [00:01<00:00, 15.04it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.90]

Epoch 62:  96%|█████████▋| 26/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.90]

Epoch 62:  96%|█████████▋| 26/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62: 100%|██████████| 27/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62: 100%|██████████| 27/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.90]

Epoch 62: 100%|██████████| 27/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 62:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]         

Epoch 63:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:   4%|▎         | 1/27 [00:00<00:08,  2.95it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:   4%|▎         | 1/27 [00:00<00:08,  2.92it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.70]

Epoch 63:   7%|▋         | 2/27 [00:00<00:04,  5.07it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.70]

Epoch 63:   7%|▋         | 2/27 [00:00<00:04,  5.06it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:  11%|█         | 3/27 [00:00<00:03,  6.61it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:  11%|█         | 3/27 [00:00<00:03,  6.59it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  15%|█▍        | 4/27 [00:00<00:02,  7.95it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  15%|█▍        | 4/27 [00:00<00:02,  7.94it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.70]

Epoch 63:  19%|█▊        | 5/27 [00:00<00:02,  8.96it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.70]

Epoch 63:  19%|█▊        | 5/27 [00:00<00:02,  8.94it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:  22%|██▏       | 6/27 [00:00<00:02,  9.80it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:  22%|██▏       | 6/27 [00:00<00:02,  9.79it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.70]

Epoch 63:  26%|██▌       | 7/27 [00:00<00:01, 10.36it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.70]

Epoch 63:  26%|██▌       | 7/27 [00:00<00:01, 10.34it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.70]

Epoch 63:  30%|██▉       | 8/27 [00:00<00:01, 11.11it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.70]

Epoch 63:  30%|██▉       | 8/27 [00:00<00:01, 11.10it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.70]

Epoch 63:  33%|███▎      | 9/27 [00:00<00:01, 11.71it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.70]

Epoch 63:  33%|███▎      | 9/27 [00:00<00:01, 11.70it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.70]

Epoch 63:  37%|███▋      | 10/27 [00:00<00:01, 12.22it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.70]

Epoch 63:  37%|███▋      | 10/27 [00:00<00:01, 12.21it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:  41%|████      | 11/27 [00:00<00:01, 12.75it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:  41%|████      | 11/27 [00:00<00:01, 12.73it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.70]

Epoch 63:  44%|████▍     | 12/27 [00:00<00:01, 13.20it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.70]

Epoch 63:  44%|████▍     | 12/27 [00:00<00:01, 13.18it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  48%|████▊     | 13/27 [00:00<00:01, 13.66it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  48%|████▊     | 13/27 [00:00<00:01, 13.64it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  52%|█████▏    | 14/27 [00:00<00:00, 14.03it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  52%|█████▏    | 14/27 [00:00<00:00, 14.01it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.70]

Epoch 63:  56%|█████▌    | 15/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.70]

Epoch 63:  56%|█████▌    | 15/27 [00:01<00:00, 14.20it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=63.70]

Epoch 63:  59%|█████▉    | 16/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=63.70]

Epoch 63:  59%|█████▉    | 16/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.70]

Epoch 63:  63%|██████▎   | 17/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.70]

Epoch 63:  63%|██████▎   | 17/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:  67%|██████▋   | 18/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63:  67%|██████▋   | 18/27 [00:01<00:00, 14.96it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.70]

Epoch 63:  70%|███████   | 19/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.70]

Epoch 63:  70%|███████   | 19/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.70]

Epoch 63:  74%|███████▍  | 20/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.70]

Epoch 63:  74%|███████▍  | 20/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=63.70]

Epoch 63:  78%|███████▊  | 21/27 [00:01<00:00, 15.52it/s, v_num=0, train_loss_step=63.90, train_loss_epoch=63.70]

Epoch 63:  78%|███████▊  | 21/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  81%|████████▏ | 22/27 [00:01<00:00, 15.69it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  81%|████████▏ | 22/27 [00:01<00:00, 15.68it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.70]

Epoch 63:  85%|████████▌ | 23/27 [00:01<00:00, 15.83it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.70]

Epoch 63:  85%|████████▌ | 23/27 [00:01<00:00, 15.82it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  89%|████████▉ | 24/27 [00:01<00:00, 15.95it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63:  89%|████████▉ | 24/27 [00:01<00:00, 15.94it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.70]

Epoch 63:  93%|█████████▎| 25/27 [00:01<00:00, 16.07it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.70]

Epoch 63:  93%|█████████▎| 25/27 [00:01<00:00, 16.06it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.70]

Epoch 63:  96%|█████████▋| 26/27 [00:01<00:00, 16.12it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.70]

Epoch 63:  96%|█████████▋| 26/27 [00:01<00:00, 16.11it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63: 100%|██████████| 27/27 [00:01<00:00, 16.38it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.70]

Epoch 63: 100%|██████████| 27/27 [00:01<00:00, 16.37it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.70]

Epoch 63: 100%|██████████| 27/27 [00:01<00:00, 16.35it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.50]

Epoch 63:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.50]         

Epoch 64:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.50]

Epoch 64:   4%|▎         | 1/27 [00:00<00:09,  2.73it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.50]

Epoch 64:   4%|▎         | 1/27 [00:00<00:09,  2.71it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:   7%|▋         | 2/27 [00:00<00:05,  4.55it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:   7%|▋         | 2/27 [00:00<00:05,  4.54it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.50]

Epoch 64:  11%|█         | 3/27 [00:00<00:03,  6.10it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.50]

Epoch 64:  11%|█         | 3/27 [00:00<00:03,  6.09it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:  15%|█▍        | 4/27 [00:00<00:03,  7.34it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:  15%|█▍        | 4/27 [00:00<00:03,  7.33it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.50]

Epoch 64:  19%|█▊        | 5/27 [00:00<00:02,  8.42it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.50]

Epoch 64:  19%|█▊        | 5/27 [00:00<00:02,  8.40it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.50]

Epoch 64:  22%|██▏       | 6/27 [00:00<00:02,  9.21it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.50]

Epoch 64:  22%|██▏       | 6/27 [00:00<00:02,  9.20it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.50]

Epoch 64:  26%|██▌       | 7/27 [00:00<00:02,  9.90it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.50]

Epoch 64:  26%|██▌       | 7/27 [00:00<00:02,  9.89it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:  30%|██▉       | 8/27 [00:00<00:01, 10.55it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:  30%|██▉       | 8/27 [00:00<00:01, 10.54it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.50]

Epoch 64:  33%|███▎      | 9/27 [00:00<00:01, 11.10it/s, v_num=0, train_loss_step=63.70, train_loss_epoch=63.50]

Epoch 64:  33%|███▎      | 9/27 [00:00<00:01, 11.09it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  37%|███▋      | 10/27 [00:00<00:01, 11.61it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  37%|███▋      | 10/27 [00:00<00:01, 11.60it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.50]

Epoch 64:  41%|████      | 11/27 [00:00<00:01, 12.09it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.50]

Epoch 64:  41%|████      | 11/27 [00:00<00:01, 12.08it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.50]

Epoch 64:  44%|████▍     | 12/27 [00:00<00:01, 12.52it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.50]

Epoch 64:  44%|████▍     | 12/27 [00:00<00:01, 12.50it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.50]

Epoch 64:  48%|████▊     | 13/27 [00:01<00:01, 12.93it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.50]

Epoch 64:  48%|████▊     | 13/27 [00:01<00:01, 12.92it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.50]

Epoch 64:  52%|█████▏    | 14/27 [00:01<00:00, 13.31it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.50]

Epoch 64:  52%|█████▏    | 14/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.50]

Epoch 64:  56%|█████▌    | 15/27 [00:01<00:00, 13.48it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.50]

Epoch 64:  56%|█████▌    | 15/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  59%|█████▉    | 16/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  59%|█████▉    | 16/27 [00:01<00:00, 13.79it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  63%|██████▎   | 17/27 [00:01<00:00, 14.09it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  63%|██████▎   | 17/27 [00:01<00:00, 14.08it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.50]

Epoch 64:  67%|██████▋   | 18/27 [00:01<00:00, 14.30it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.50]

Epoch 64:  67%|██████▋   | 18/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  70%|███████   | 19/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  70%|███████   | 19/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  74%|███████▍  | 20/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  74%|███████▍  | 20/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.50]

Epoch 64:  78%|███████▊  | 21/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.50]

Epoch 64:  78%|███████▊  | 21/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  81%|████████▏ | 22/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  81%|████████▏ | 22/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:  85%|████████▌ | 23/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:  85%|████████▌ | 23/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  89%|████████▉ | 24/27 [00:01<00:00, 15.52it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  89%|████████▉ | 24/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:  93%|█████████▎| 25/27 [00:01<00:00, 15.67it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64:  93%|█████████▎| 25/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  96%|█████████▋| 26/27 [00:01<00:00, 15.80it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64:  96%|█████████▋| 26/27 [00:01<00:00, 15.79it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64: 100%|██████████| 27/27 [00:01<00:00, 16.03it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.50]

Epoch 64: 100%|██████████| 27/27 [00:01<00:00, 16.02it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.50]

Epoch 64: 100%|██████████| 27/27 [00:01<00:00, 16.01it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.30]

Epoch 64:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.30]         

Epoch 65:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.30]

Epoch 65:   4%|▎         | 1/27 [00:00<00:09,  2.79it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.30]

Epoch 65:   4%|▎         | 1/27 [00:00<00:09,  2.78it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:   7%|▋         | 2/27 [00:00<00:05,  4.71it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:   7%|▋         | 2/27 [00:00<00:05,  4.70it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.30]

Epoch 65:  11%|█         | 3/27 [00:00<00:03,  6.01it/s, v_num=0, train_loss_step=63.80, train_loss_epoch=63.30]

Epoch 65:  11%|█         | 3/27 [00:00<00:04,  6.00it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.30]

Epoch 65:  15%|█▍        | 4/27 [00:00<00:03,  7.23it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.30]

Epoch 65:  15%|█▍        | 4/27 [00:00<00:03,  7.22it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  19%|█▊        | 5/27 [00:00<00:02,  8.21it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  19%|█▊        | 5/27 [00:00<00:02,  8.20it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.30]

Epoch 65:  22%|██▏       | 6/27 [00:00<00:02,  8.97it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.30]

Epoch 65:  22%|██▏       | 6/27 [00:00<00:02,  8.96it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.30]

Epoch 65:  26%|██▌       | 7/27 [00:00<00:02,  9.66it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.30]

Epoch 65:  26%|██▌       | 7/27 [00:00<00:02,  9.65it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.30]

Epoch 65:  30%|██▉       | 8/27 [00:00<00:01, 10.25it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.30]

Epoch 65:  30%|██▉       | 8/27 [00:00<00:01, 10.24it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=63.30]

Epoch 65:  33%|███▎      | 9/27 [00:00<00:01, 10.67it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=63.30]

Epoch 65:  33%|███▎      | 9/27 [00:00<00:01, 10.66it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=63.30]

Epoch 65:  37%|███▋      | 10/27 [00:00<00:01, 11.21it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=63.30]

Epoch 65:  37%|███▋      | 10/27 [00:00<00:01, 11.20it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.30]

Epoch 65:  41%|████      | 11/27 [00:00<00:01, 11.64it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=63.30]

Epoch 65:  41%|████      | 11/27 [00:00<00:01, 11.63it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  44%|████▍     | 12/27 [00:00<00:01, 12.02it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  44%|████▍     | 12/27 [00:00<00:01, 12.01it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.30]

Epoch 65:  48%|████▊     | 13/27 [00:01<00:01, 12.40it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.30]

Epoch 65:  48%|████▊     | 13/27 [00:01<00:01, 12.39it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.30]

Epoch 65:  52%|█████▏    | 14/27 [00:01<00:01, 12.73it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.30]

Epoch 65:  52%|█████▏    | 14/27 [00:01<00:01, 12.72it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.30]

Epoch 65:  56%|█████▌    | 15/27 [00:01<00:00, 12.99it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.30]

Epoch 65:  56%|█████▌    | 15/27 [00:01<00:00, 12.98it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.30]

Epoch 65:  59%|█████▉    | 16/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.30]

Epoch 65:  59%|█████▉    | 16/27 [00:01<00:00, 13.28it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  63%|██████▎   | 17/27 [00:01<00:00, 13.51it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  63%|██████▎   | 17/27 [00:01<00:00, 13.50it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.30]

Epoch 65:  67%|██████▋   | 18/27 [00:01<00:00, 13.75it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.30]

Epoch 65:  67%|██████▋   | 18/27 [00:01<00:00, 13.74it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.30]

Epoch 65:  70%|███████   | 19/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.30]

Epoch 65:  70%|███████   | 19/27 [00:01<00:00, 13.79it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.30]

Epoch 65:  74%|███████▍  | 20/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=63.60, train_loss_epoch=63.30]

Epoch 65:  74%|███████▍  | 20/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.30]

Epoch 65:  78%|███████▊  | 21/27 [00:01<00:00, 14.08it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.30]

Epoch 65:  78%|███████▊  | 21/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.30]

Epoch 65:  81%|████████▏ | 22/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.30]

Epoch 65:  81%|████████▏ | 22/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  85%|████████▌ | 23/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  85%|████████▌ | 23/27 [00:01<00:00, 14.37it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.30]

Epoch 65:  89%|████████▉ | 24/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.30]

Epoch 65:  89%|████████▉ | 24/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  93%|█████████▎| 25/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65:  93%|█████████▎| 25/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.30]

Epoch 65:  96%|█████████▋| 26/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.30]

Epoch 65:  96%|█████████▋| 26/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65: 100%|██████████| 27/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.30]

Epoch 65: 100%|██████████| 27/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.30]

Epoch 65: 100%|██████████| 27/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.20]

Epoch 65:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.20]         

Epoch 66:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.20]

Epoch 66:   4%|▎         | 1/27 [00:00<00:08,  3.06it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.20]

Epoch 66:   4%|▎         | 1/27 [00:00<00:08,  3.04it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:   7%|▋         | 2/27 [00:00<00:04,  5.07it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:   7%|▋         | 2/27 [00:00<00:04,  5.06it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  11%|█         | 3/27 [00:00<00:03,  6.54it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  11%|█         | 3/27 [00:00<00:03,  6.52it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.20]

Epoch 66:  15%|█▍        | 4/27 [00:00<00:02,  7.81it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.20]

Epoch 66:  15%|█▍        | 4/27 [00:00<00:02,  7.80it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:  19%|█▊        | 5/27 [00:00<00:02,  8.86it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:  19%|█▊        | 5/27 [00:00<00:02,  8.84it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:  22%|██▏       | 6/27 [00:00<00:02,  9.44it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:  22%|██▏       | 6/27 [00:00<00:02,  9.43it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  26%|██▌       | 7/27 [00:00<00:01, 10.13it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  26%|██▌       | 7/27 [00:00<00:01, 10.11it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.20]

Epoch 66:  30%|██▉       | 8/27 [00:00<00:01, 10.69it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.20]

Epoch 66:  30%|██▉       | 8/27 [00:00<00:01, 10.67it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=63.20]

Epoch 66:  33%|███▎      | 9/27 [00:00<00:01, 11.30it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=63.20]

Epoch 66:  33%|███▎      | 9/27 [00:00<00:01, 11.29it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:  37%|███▋      | 10/27 [00:00<00:01, 11.78it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:  37%|███▋      | 10/27 [00:00<00:01, 11.77it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.20]

Epoch 66:  41%|████      | 11/27 [00:00<00:01, 12.20it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.20]

Epoch 66:  41%|████      | 11/27 [00:00<00:01, 12.19it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.20]

Epoch 66:  44%|████▍     | 12/27 [00:00<00:01, 12.61it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.20]

Epoch 66:  44%|████▍     | 12/27 [00:00<00:01, 12.60it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:  48%|████▊     | 13/27 [00:01<00:01, 12.98it/s, v_num=0, train_loss_step=63.30, train_loss_epoch=63.20]

Epoch 66:  48%|████▊     | 13/27 [00:01<00:01, 12.97it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.20]

Epoch 66:  52%|█████▏    | 14/27 [00:01<00:00, 13.27it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.20]

Epoch 66:  52%|█████▏    | 14/27 [00:01<00:00, 13.26it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.20]

Epoch 66:  56%|█████▌    | 15/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.20]

Epoch 66:  56%|█████▌    | 15/27 [00:01<00:00, 13.56it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.20]

Epoch 66:  59%|█████▉    | 16/27 [00:01<00:00, 13.82it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.20]

Epoch 66:  59%|█████▉    | 16/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.20]

Epoch 66:  63%|██████▎   | 17/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.20]

Epoch 66:  63%|██████▎   | 17/27 [00:01<00:00, 13.95it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.20]

Epoch 66:  67%|██████▋   | 18/27 [00:01<00:00, 14.19it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.20]

Epoch 66:  67%|██████▋   | 18/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.20]

Epoch 66:  70%|███████   | 19/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.20]

Epoch 66:  70%|███████   | 19/27 [00:01<00:00, 14.34it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  74%|███████▍  | 20/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  74%|███████▍  | 20/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  78%|███████▊  | 21/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  78%|███████▊  | 21/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  81%|████████▏ | 22/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.20]

Epoch 66:  81%|████████▏ | 22/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.20]

Epoch 66:  85%|████████▌ | 23/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.20]

Epoch 66:  85%|████████▌ | 23/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.20]

Epoch 66:  89%|████████▉ | 24/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.20]

Epoch 66:  89%|████████▉ | 24/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.20]

Epoch 66:  93%|█████████▎| 25/27 [00:01<00:00, 15.23it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.20]

Epoch 66:  93%|█████████▎| 25/27 [00:01<00:00, 15.22it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.20]

Epoch 66:  96%|█████████▋| 26/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.20]

Epoch 66:  96%|█████████▋| 26/27 [00:01<00:00, 15.34it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.20]

Epoch 66: 100%|██████████| 27/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.20]

Epoch 66: 100%|██████████| 27/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.20]

Epoch 66: 100%|██████████| 27/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.00]

Epoch 66:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.00]         

Epoch 67:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.00]

Epoch 67:   4%|▎         | 1/27 [00:00<00:08,  2.95it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.00]

Epoch 67:   4%|▎         | 1/27 [00:00<00:08,  2.93it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.00]

Epoch 67:   7%|▋         | 2/27 [00:00<00:05,  4.97it/s, v_num=0, train_loss_step=63.40, train_loss_epoch=63.00]

Epoch 67:   7%|▋         | 2/27 [00:00<00:05,  4.96it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.00]

Epoch 67:  11%|█         | 3/27 [00:00<00:03,  6.59it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.00]

Epoch 67:  11%|█         | 3/27 [00:00<00:03,  6.58it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.00]

Epoch 67:  15%|█▍        | 4/27 [00:00<00:02,  7.72it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.00]

Epoch 67:  15%|█▍        | 4/27 [00:00<00:02,  7.70it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=63.00]

Epoch 67:  19%|█▊        | 5/27 [00:00<00:02,  8.77it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=63.00]

Epoch 67:  19%|█▊        | 5/27 [00:00<00:02,  8.75it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=63.00]

Epoch 67:  22%|██▏       | 6/27 [00:00<00:02,  9.65it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=63.00]

Epoch 67:  22%|██▏       | 6/27 [00:00<00:02,  9.63it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  26%|██▌       | 7/27 [00:00<00:01, 10.24it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  26%|██▌       | 7/27 [00:00<00:01, 10.23it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  30%|██▉       | 8/27 [00:00<00:01, 10.85it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  30%|██▉       | 8/27 [00:00<00:01, 10.83it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.00]

Epoch 67:  33%|███▎      | 9/27 [00:00<00:01, 11.42it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.00]

Epoch 67:  33%|███▎      | 9/27 [00:00<00:01, 11.41it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  37%|███▋      | 10/27 [00:00<00:01, 11.98it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  37%|███▋      | 10/27 [00:00<00:01, 11.96it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  41%|████      | 11/27 [00:00<00:01, 12.38it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  41%|████      | 11/27 [00:00<00:01, 12.37it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.00]

Epoch 67:  44%|████▍     | 12/27 [00:00<00:01, 12.82it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.00]

Epoch 67:  44%|████▍     | 12/27 [00:00<00:01, 12.81it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  48%|████▊     | 13/27 [00:00<00:01, 13.24it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  48%|████▊     | 13/27 [00:00<00:01, 13.23it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  52%|█████▏    | 14/27 [00:01<00:00, 13.53it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  52%|█████▏    | 14/27 [00:01<00:00, 13.52it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.00]

Epoch 67:  56%|█████▌    | 15/27 [00:01<00:00, 13.87it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.00]

Epoch 67:  56%|█████▌    | 15/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=63.00]

Epoch 67:  59%|█████▉    | 16/27 [00:01<00:00, 14.21it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=63.00]

Epoch 67:  59%|█████▉    | 16/27 [00:01<00:00, 14.20it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=63.00]

Epoch 67:  63%|██████▎   | 17/27 [00:01<00:00, 14.48it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=63.00]

Epoch 67:  63%|██████▎   | 17/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  67%|██████▋   | 18/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  67%|██████▋   | 18/27 [00:01<00:00, 14.71it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.00]

Epoch 67:  70%|███████   | 19/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=63.00]

Epoch 67:  70%|███████   | 19/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  74%|███████▍  | 20/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  74%|███████▍  | 20/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.00]

Epoch 67:  78%|███████▊  | 21/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.00]

Epoch 67:  78%|███████▊  | 21/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  81%|████████▏ | 22/27 [00:01<00:00, 15.34it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  81%|████████▏ | 22/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.00]

Epoch 67:  85%|████████▌ | 23/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=63.00]

Epoch 67:  85%|████████▌ | 23/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=63.00]

Epoch 67:  89%|████████▉ | 24/27 [00:01<00:00, 15.67it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=63.00]

Epoch 67:  89%|████████▉ | 24/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  93%|█████████▎| 25/27 [00:01<00:00, 15.75it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=63.00]

Epoch 67:  93%|█████████▎| 25/27 [00:01<00:00, 15.74it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  96%|█████████▋| 26/27 [00:01<00:00, 15.86it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=63.00]

Epoch 67:  96%|█████████▋| 26/27 [00:01<00:00, 15.85it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.00]

Epoch 67: 100%|██████████| 27/27 [00:01<00:00, 16.06it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=63.00]

Epoch 67: 100%|██████████| 27/27 [00:01<00:00, 16.05it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=63.00]

Epoch 67: 100%|██████████| 27/27 [00:01<00:00, 16.04it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]

Epoch 67:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]         

Epoch 68:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]

Epoch 68:   4%|▎         | 1/27 [00:00<00:08,  3.17it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]

Epoch 68:   4%|▎         | 1/27 [00:00<00:08,  3.15it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:   7%|▋         | 2/27 [00:00<00:04,  5.22it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:   7%|▋         | 2/27 [00:00<00:04,  5.21it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:  11%|█         | 3/27 [00:00<00:03,  6.90it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:  11%|█         | 3/27 [00:00<00:03,  6.89it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=62.90]

Epoch 68:  15%|█▍        | 4/27 [00:00<00:02,  7.78it/s, v_num=0, train_loss_step=63.50, train_loss_epoch=62.90]

Epoch 68:  15%|█▍        | 4/27 [00:00<00:02,  7.76it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  19%|█▊        | 5/27 [00:00<00:02,  8.71it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  19%|█▊        | 5/27 [00:00<00:02,  8.69it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]

Epoch 68:  22%|██▏       | 6/27 [00:00<00:02,  9.44it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]

Epoch 68:  22%|██▏       | 6/27 [00:00<00:02,  9.43it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.90]

Epoch 68:  26%|██▌       | 7/27 [00:00<00:01, 10.05it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.90]

Epoch 68:  26%|██▌       | 7/27 [00:00<00:01, 10.04it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.90]

Epoch 68:  30%|██▉       | 8/27 [00:00<00:01, 10.55it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.90]

Epoch 68:  30%|██▉       | 8/27 [00:00<00:01, 10.54it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]

Epoch 68:  33%|███▎      | 9/27 [00:00<00:01, 11.06it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]

Epoch 68:  33%|███▎      | 9/27 [00:00<00:01, 11.04it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=62.90]

Epoch 68:  37%|███▋      | 10/27 [00:00<00:01, 11.51it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=62.90]

Epoch 68:  37%|███▋      | 10/27 [00:00<00:01, 11.50it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=62.90]

Epoch 68:  41%|████      | 11/27 [00:00<00:01, 11.96it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=62.90]

Epoch 68:  41%|████      | 11/27 [00:00<00:01, 11.95it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:  44%|████▍     | 12/27 [00:00<00:01, 12.35it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:  44%|████▍     | 12/27 [00:00<00:01, 12.33it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=62.90]

Epoch 68:  48%|████▊     | 13/27 [00:01<00:01, 12.77it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=62.90]

Epoch 68:  48%|████▊     | 13/27 [00:01<00:01, 12.75it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  52%|█████▏    | 14/27 [00:01<00:00, 13.08it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  52%|█████▏    | 14/27 [00:01<00:00, 13.07it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:  56%|█████▌    | 15/27 [00:01<00:00, 13.41it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:  56%|█████▌    | 15/27 [00:01<00:00, 13.40it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  59%|█████▉    | 16/27 [00:01<00:00, 13.66it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  59%|█████▉    | 16/27 [00:01<00:00, 13.65it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.90]

Epoch 68:  63%|██████▎   | 17/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.90]

Epoch 68:  63%|██████▎   | 17/27 [00:01<00:00, 13.91it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.90]

Epoch 68:  67%|██████▋   | 18/27 [00:01<00:00, 14.16it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.90]

Epoch 68:  67%|██████▋   | 18/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  70%|███████   | 19/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  70%|███████   | 19/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]

Epoch 68:  74%|███████▍  | 20/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.90]

Epoch 68:  74%|███████▍  | 20/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  78%|███████▊  | 21/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68:  78%|███████▊  | 21/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=62.90]

Epoch 68:  81%|████████▏ | 22/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=62.90]

Epoch 68:  81%|████████▏ | 22/27 [00:01<00:00, 14.59it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:  85%|████████▌ | 23/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.90]

Epoch 68:  85%|████████▌ | 23/27 [00:01<00:00, 14.75it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.90]

Epoch 68:  89%|████████▉ | 24/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.90]

Epoch 68:  89%|████████▉ | 24/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.90]

Epoch 68:  93%|█████████▎| 25/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.90]

Epoch 68:  93%|█████████▎| 25/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.90]

Epoch 68:  96%|█████████▋| 26/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.90]

Epoch 68:  96%|█████████▋| 26/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68: 100%|██████████| 27/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.90]

Epoch 68: 100%|██████████| 27/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.90]

Epoch 68: 100%|██████████| 27/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 68:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]         

Epoch 69:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:   4%|▎         | 1/27 [00:00<00:08,  2.96it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:   4%|▎         | 1/27 [00:00<00:08,  2.93it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.70]

Epoch 69:   7%|▋         | 2/27 [00:00<00:04,  5.02it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.70]

Epoch 69:   7%|▋         | 2/27 [00:00<00:04,  5.01it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.70]

Epoch 69:  11%|█         | 3/27 [00:00<00:03,  6.62it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.70]

Epoch 69:  11%|█         | 3/27 [00:00<00:03,  6.61it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.70]

Epoch 69:  15%|█▍        | 4/27 [00:00<00:02,  7.81it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.70]

Epoch 69:  15%|█▍        | 4/27 [00:00<00:02,  7.80it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.70]

Epoch 69:  19%|█▊        | 5/27 [00:00<00:02,  8.83it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.70]

Epoch 69:  19%|█▊        | 5/27 [00:00<00:02,  8.81it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  22%|██▏       | 6/27 [00:00<00:02,  9.47it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  22%|██▏       | 6/27 [00:00<00:02,  9.46it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.70]

Epoch 69:  26%|██▌       | 7/27 [00:00<00:02,  9.90it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.70]

Epoch 69:  26%|██▌       | 7/27 [00:00<00:02,  9.88it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.70]

Epoch 69:  30%|██▉       | 8/27 [00:00<00:01, 10.38it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.70]

Epoch 69:  30%|██▉       | 8/27 [00:00<00:01, 10.37it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.70]

Epoch 69:  33%|███▎      | 9/27 [00:00<00:01, 10.97it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.70]

Epoch 69:  33%|███▎      | 9/27 [00:00<00:01, 10.94it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.70]

Epoch 69:  37%|███▋      | 10/27 [00:00<00:01, 11.41it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.70]

Epoch 69:  37%|███▋      | 10/27 [00:00<00:01, 11.39it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  41%|████      | 11/27 [00:00<00:01, 11.79it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  41%|████      | 11/27 [00:00<00:01, 11.78it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.70]

Epoch 69:  44%|████▍     | 12/27 [00:00<00:01, 12.21it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.70]

Epoch 69:  44%|████▍     | 12/27 [00:00<00:01, 12.20it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.70]

Epoch 69:  48%|████▊     | 13/27 [00:01<00:01, 12.66it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.70]

Epoch 69:  48%|████▊     | 13/27 [00:01<00:01, 12.65it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  52%|█████▏    | 14/27 [00:01<00:00, 13.00it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  52%|█████▏    | 14/27 [00:01<00:01, 12.99it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=62.70]

Epoch 69:  56%|█████▌    | 15/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=62.70]

Epoch 69:  56%|█████▌    | 15/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.70]

Epoch 69:  59%|█████▉    | 16/27 [00:01<00:00, 13.62it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.70]

Epoch 69:  59%|█████▉    | 16/27 [00:01<00:00, 13.61it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.70]

Epoch 69:  63%|██████▎   | 17/27 [00:01<00:00, 13.89it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.70]

Epoch 69:  63%|██████▎   | 17/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  67%|██████▋   | 18/27 [00:01<00:00, 14.11it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  67%|██████▋   | 18/27 [00:01<00:00, 14.10it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.70]

Epoch 69:  70%|███████   | 19/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.70]

Epoch 69:  70%|███████   | 19/27 [00:01<00:00, 14.25it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.70]

Epoch 69:  74%|███████▍  | 20/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.70]

Epoch 69:  74%|███████▍  | 20/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.70]

Epoch 69:  78%|███████▊  | 21/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.70]

Epoch 69:  78%|███████▊  | 21/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  81%|████████▏ | 22/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.70]

Epoch 69:  81%|████████▏ | 22/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.70]

Epoch 69:  85%|████████▌ | 23/27 [00:01<00:00, 14.82it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.70]

Epoch 69:  85%|████████▌ | 23/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.70]

Epoch 69:  89%|████████▉ | 24/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.70]

Epoch 69:  89%|████████▉ | 24/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.70]

Epoch 69:  93%|█████████▎| 25/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.70]

Epoch 69:  93%|█████████▎| 25/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.70]

Epoch 69:  96%|█████████▋| 26/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.70]

Epoch 69:  96%|█████████▋| 26/27 [00:01<00:00, 15.04it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.70]

Epoch 69: 100%|██████████| 27/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.70]

Epoch 69: 100%|██████████| 27/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.70]

Epoch 69: 100%|██████████| 27/27 [00:01<00:00, 15.24it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]

Epoch 69:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]         

Epoch 70:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]

Epoch 70:   4%|▎         | 1/27 [00:00<00:08,  3.11it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]

Epoch 70:   4%|▎         | 1/27 [00:00<00:08,  3.09it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:   7%|▋         | 2/27 [00:00<00:04,  5.28it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:   7%|▋         | 2/27 [00:00<00:04,  5.27it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  11%|█         | 3/27 [00:00<00:03,  6.92it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  11%|█         | 3/27 [00:00<00:03,  6.91it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.60]

Epoch 70:  15%|█▍        | 4/27 [00:00<00:02,  8.19it/s, v_num=0, train_loss_step=63.00, train_loss_epoch=62.60]

Epoch 70:  15%|█▍        | 4/27 [00:00<00:02,  8.18it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  19%|█▊        | 5/27 [00:00<00:02,  9.10it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  19%|█▊        | 5/27 [00:00<00:02,  9.09it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]

Epoch 70:  22%|██▏       | 6/27 [00:00<00:02,  9.71it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]

Epoch 70:  22%|██▏       | 6/27 [00:00<00:02,  9.69it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.60]

Epoch 70:  26%|██▌       | 7/27 [00:00<00:01, 10.35it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.60]

Epoch 70:  26%|██▌       | 7/27 [00:00<00:01, 10.34it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  30%|██▉       | 8/27 [00:00<00:01, 10.95it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  30%|██▉       | 8/27 [00:00<00:01, 10.93it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.60]

Epoch 70:  33%|███▎      | 9/27 [00:00<00:01, 11.50it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.60]

Epoch 70:  33%|███▎      | 9/27 [00:00<00:01, 11.48it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  37%|███▋      | 10/27 [00:00<00:01, 11.96it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  37%|███▋      | 10/27 [00:00<00:01, 11.94it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.60]

Epoch 70:  41%|████      | 11/27 [00:00<00:01, 12.21it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.60]

Epoch 70:  41%|████      | 11/27 [00:00<00:01, 12.19it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]

Epoch 70:  44%|████▍     | 12/27 [00:00<00:01, 12.56it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]

Epoch 70:  44%|████▍     | 12/27 [00:00<00:01, 12.55it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  48%|████▊     | 13/27 [00:01<00:01, 12.94it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  48%|████▊     | 13/27 [00:01<00:01, 12.93it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  52%|█████▏    | 14/27 [00:01<00:00, 13.27it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  52%|█████▏    | 14/27 [00:01<00:00, 13.26it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.60]

Epoch 70:  56%|█████▌    | 15/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.60]

Epoch 70:  56%|█████▌    | 15/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  59%|█████▉    | 16/27 [00:01<00:00, 13.87it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  59%|█████▉    | 16/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.60]

Epoch 70:  63%|██████▎   | 17/27 [00:01<00:00, 14.08it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.60]

Epoch 70:  63%|██████▎   | 17/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  67%|██████▋   | 18/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  67%|██████▋   | 18/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  70%|███████   | 19/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  70%|███████   | 19/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  74%|███████▍  | 20/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.60]

Epoch 70:  74%|███████▍  | 20/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.60]

Epoch 70:  78%|███████▊  | 21/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.60]

Epoch 70:  78%|███████▊  | 21/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  81%|████████▏ | 22/27 [00:01<00:00, 14.94it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  81%|████████▏ | 22/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]

Epoch 70:  85%|████████▌ | 23/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.60]

Epoch 70:  85%|████████▌ | 23/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.60]

Epoch 70:  89%|████████▉ | 24/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.60]

Epoch 70:  89%|████████▉ | 24/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  93%|█████████▎| 25/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.60]

Epoch 70:  93%|█████████▎| 25/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.60]

Epoch 70:  96%|█████████▋| 26/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.60]

Epoch 70:  96%|█████████▋| 26/27 [00:01<00:00, 15.46it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.60]

Epoch 70: 100%|██████████| 27/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.60]

Epoch 70: 100%|██████████| 27/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.60]

Epoch 70: 100%|██████████| 27/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.40]

Epoch 70:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.40]         

Epoch 71:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.40]

Epoch 71:   4%|▎         | 1/27 [00:00<00:08,  3.00it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.40]

Epoch 71:   4%|▎         | 1/27 [00:00<00:08,  2.98it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.40]

Epoch 71:   7%|▋         | 2/27 [00:00<00:04,  5.22it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.40]

Epoch 71:   7%|▋         | 2/27 [00:00<00:04,  5.21it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.40]

Epoch 71:  11%|█         | 3/27 [00:00<00:03,  6.82it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.40]

Epoch 71:  11%|█         | 3/27 [00:00<00:03,  6.80it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.40]

Epoch 71:  15%|█▍        | 4/27 [00:00<00:02,  8.00it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.40]

Epoch 71:  15%|█▍        | 4/27 [00:00<00:02,  7.99it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.40]

Epoch 71:  19%|█▊        | 5/27 [00:00<00:02,  8.88it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.40]

Epoch 71:  19%|█▊        | 5/27 [00:00<00:02,  8.86it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.40]

Epoch 71:  22%|██▏       | 6/27 [00:00<00:02,  9.69it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.40]

Epoch 71:  22%|██▏       | 6/27 [00:00<00:02,  9.68it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.40]

Epoch 71:  26%|██▌       | 7/27 [00:00<00:01, 10.20it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.40]

Epoch 71:  26%|██▌       | 7/27 [00:00<00:01, 10.19it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  30%|██▉       | 8/27 [00:00<00:01, 10.78it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  30%|██▉       | 8/27 [00:00<00:01, 10.77it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.40]

Epoch 71:  33%|███▎      | 9/27 [00:00<00:01, 11.27it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.40]

Epoch 71:  33%|███▎      | 9/27 [00:00<00:01, 11.25it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  37%|███▋      | 10/27 [00:00<00:01, 11.77it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  37%|███▋      | 10/27 [00:00<00:01, 11.76it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.40]

Epoch 71:  41%|████      | 11/27 [00:00<00:01, 12.14it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.40]

Epoch 71:  41%|████      | 11/27 [00:00<00:01, 12.13it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.40]

Epoch 71:  44%|████▍     | 12/27 [00:00<00:01, 12.58it/s, v_num=0, train_loss_step=62.80, train_loss_epoch=62.40]

Epoch 71:  44%|████▍     | 12/27 [00:00<00:01, 12.57it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.40]

Epoch 71:  48%|████▊     | 13/27 [00:01<00:01, 12.97it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.40]

Epoch 71:  48%|████▊     | 13/27 [00:01<00:01, 12.95it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  52%|█████▏    | 14/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  52%|█████▏    | 14/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=62.40]

Epoch 71:  56%|█████▌    | 15/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=62.90, train_loss_epoch=62.40]

Epoch 71:  56%|█████▌    | 15/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  59%|█████▉    | 16/27 [00:01<00:00, 13.85it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  59%|█████▉    | 16/27 [00:01<00:00, 13.84it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.40]

Epoch 71:  63%|██████▎   | 17/27 [00:01<00:00, 14.16it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.40]

Epoch 71:  63%|██████▎   | 17/27 [00:01<00:00, 14.14it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.40]

Epoch 71:  67%|██████▋   | 18/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.40]

Epoch 71:  67%|██████▋   | 18/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=62.40]

Epoch 71:  70%|███████   | 19/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=63.20, train_loss_epoch=62.40]

Epoch 71:  70%|███████   | 19/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  74%|███████▍  | 20/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.40]

Epoch 71:  74%|███████▍  | 20/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.40]

Epoch 71:  78%|███████▊  | 21/27 [00:01<00:00, 14.82it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.40]

Epoch 71:  78%|███████▊  | 21/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.40]

Epoch 71:  81%|████████▏ | 22/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.40]

Epoch 71:  81%|████████▏ | 22/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.40]

Epoch 71:  85%|████████▌ | 23/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.40]

Epoch 71:  85%|████████▌ | 23/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.40]

Epoch 71:  89%|████████▉ | 24/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=62.60, train_loss_epoch=62.40]

Epoch 71:  89%|████████▉ | 24/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.40]

Epoch 71:  93%|█████████▎| 25/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.40]

Epoch 71:  93%|█████████▎| 25/27 [00:01<00:00, 15.25it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.40]

Epoch 71:  96%|█████████▋| 26/27 [00:01<00:00, 15.34it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.40]

Epoch 71:  96%|█████████▋| 26/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.40]

Epoch 71: 100%|██████████| 27/27 [00:01<00:00, 15.54it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.40]

Epoch 71: 100%|██████████| 27/27 [00:01<00:00, 15.53it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.40]

Epoch 71: 100%|██████████| 27/27 [00:01<00:00, 15.52it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 71:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]         

Epoch 72:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:   4%|▎         | 1/27 [00:00<00:09,  2.86it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:   4%|▎         | 1/27 [00:00<00:09,  2.84it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.30]

Epoch 72:   7%|▋         | 2/27 [00:00<00:05,  4.92it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.30]

Epoch 72:   7%|▋         | 2/27 [00:00<00:05,  4.91it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:  11%|█         | 3/27 [00:00<00:03,  6.45it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:  11%|█         | 3/27 [00:00<00:03,  6.44it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.30]

Epoch 72:  15%|█▍        | 4/27 [00:00<00:03,  7.56it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.30]

Epoch 72:  15%|█▍        | 4/27 [00:00<00:03,  7.54it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.30]

Epoch 72:  19%|█▊        | 5/27 [00:00<00:02,  8.49it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.30]

Epoch 72:  19%|█▊        | 5/27 [00:00<00:02,  8.48it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.30]

Epoch 72:  22%|██▏       | 6/27 [00:00<00:02,  9.17it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.30]

Epoch 72:  22%|██▏       | 6/27 [00:00<00:02,  9.16it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.30]

Epoch 72:  26%|██▌       | 7/27 [00:00<00:02,  9.89it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.30]

Epoch 72:  26%|██▌       | 7/27 [00:00<00:02,  9.87it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:  30%|██▉       | 8/27 [00:00<00:01, 10.51it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:  30%|██▉       | 8/27 [00:00<00:01, 10.50it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.30]

Epoch 72:  33%|███▎      | 9/27 [00:00<00:01, 11.03it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.30]

Epoch 72:  33%|███▎      | 9/27 [00:00<00:01, 11.01it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.30]

Epoch 72:  37%|███▋      | 10/27 [00:00<00:01, 11.48it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.30]

Epoch 72:  37%|███▋      | 10/27 [00:00<00:01, 11.46it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=62.30]

Epoch 72:  41%|████      | 11/27 [00:00<00:01, 11.91it/s, v_num=0, train_loss_step=63.10, train_loss_epoch=62.30]

Epoch 72:  41%|████      | 11/27 [00:00<00:01, 11.90it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:  44%|████▍     | 12/27 [00:00<00:01, 12.31it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:  44%|████▍     | 12/27 [00:00<00:01, 12.30it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.30]

Epoch 72:  48%|████▊     | 13/27 [00:01<00:01, 12.70it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.30]

Epoch 72:  48%|████▊     | 13/27 [00:01<00:01, 12.69it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  52%|█████▏    | 14/27 [00:01<00:00, 13.04it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  52%|█████▏    | 14/27 [00:01<00:00, 13.03it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  56%|█████▌    | 15/27 [00:01<00:00, 13.35it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  56%|█████▌    | 15/27 [00:01<00:00, 13.34it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  59%|█████▉    | 16/27 [00:01<00:00, 13.67it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  59%|█████▉    | 16/27 [00:01<00:00, 13.66it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.30]

Epoch 72:  63%|██████▎   | 17/27 [00:01<00:00, 13.97it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.30]

Epoch 72:  63%|██████▎   | 17/27 [00:01<00:00, 13.96it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.30]

Epoch 72:  67%|██████▋   | 18/27 [00:01<00:00, 14.19it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.30]

Epoch 72:  67%|██████▋   | 18/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.30]

Epoch 72:  70%|███████   | 19/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.30]

Epoch 72:  70%|███████   | 19/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.30]

Epoch 72:  74%|███████▍  | 20/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.30]

Epoch 72:  74%|███████▍  | 20/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=62.30]

Epoch 72:  78%|███████▊  | 21/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=62.30]

Epoch 72:  78%|███████▊  | 21/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  81%|████████▏ | 22/27 [00:01<00:00, 14.94it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  81%|████████▏ | 22/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  85%|████████▌ | 23/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.30]

Epoch 72:  85%|████████▌ | 23/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:  89%|████████▉ | 24/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.30]

Epoch 72:  89%|████████▉ | 24/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.30]

Epoch 72:  93%|█████████▎| 25/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.30]

Epoch 72:  93%|█████████▎| 25/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.30]

Epoch 72:  96%|█████████▋| 26/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.30]

Epoch 72:  96%|█████████▋| 26/27 [00:01<00:00, 15.32it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.30]

Epoch 72: 100%|██████████| 27/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.30]

Epoch 72: 100%|██████████| 27/27 [00:01<00:00, 15.50it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.30]

Epoch 72: 100%|██████████| 27/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.10]

Epoch 72:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.10]         

Epoch 73:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.10]

Epoch 73:   4%|▎         | 1/27 [00:00<00:07,  3.26it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.10]

Epoch 73:   4%|▎         | 1/27 [00:00<00:08,  3.24it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.10]

Epoch 73:   7%|▋         | 2/27 [00:00<00:04,  5.40it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.10]

Epoch 73:   7%|▋         | 2/27 [00:00<00:04,  5.39it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  11%|█         | 3/27 [00:00<00:03,  7.04it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  11%|█         | 3/27 [00:00<00:03,  7.02it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.10]

Epoch 73:  15%|█▍        | 4/27 [00:00<00:02,  8.19it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.10]

Epoch 73:  15%|█▍        | 4/27 [00:00<00:02,  8.17it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.10]

Epoch 73:  19%|█▊        | 5/27 [00:00<00:02,  9.28it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.10]

Epoch 73:  19%|█▊        | 5/27 [00:00<00:02,  9.26it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  22%|██▏       | 6/27 [00:00<00:02, 10.18it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  22%|██▏       | 6/27 [00:00<00:02, 10.16it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.10]

Epoch 73:  26%|██▌       | 7/27 [00:00<00:01, 10.69it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.10]

Epoch 73:  26%|██▌       | 7/27 [00:00<00:01, 10.67it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=62.10]

Epoch 73:  30%|██▉       | 8/27 [00:00<00:01, 11.12it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=62.10]

Epoch 73:  30%|██▉       | 8/27 [00:00<00:01, 11.10it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.10]

Epoch 73:  33%|███▎      | 9/27 [00:00<00:01, 11.69it/s, v_num=0, train_loss_step=62.50, train_loss_epoch=62.10]

Epoch 73:  33%|███▎      | 9/27 [00:00<00:01, 11.68it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.10]

Epoch 73:  37%|███▋      | 10/27 [00:00<00:01, 12.03it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.10]

Epoch 73:  37%|███▋      | 10/27 [00:00<00:01, 12.01it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.10]

Epoch 73:  41%|████      | 11/27 [00:00<00:01, 12.48it/s, v_num=0, train_loss_step=62.70, train_loss_epoch=62.10]

Epoch 73:  41%|████      | 11/27 [00:00<00:01, 12.46it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.10]

Epoch 73:  44%|████▍     | 12/27 [00:00<00:01, 12.84it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.10]

Epoch 73:  44%|████▍     | 12/27 [00:00<00:01, 12.83it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.10]

Epoch 73:  48%|████▊     | 13/27 [00:00<00:01, 13.14it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.10]

Epoch 73:  48%|████▊     | 13/27 [00:00<00:01, 13.13it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.10]

Epoch 73:  52%|█████▏    | 14/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.10]

Epoch 73:  52%|█████▏    | 14/27 [00:01<00:00, 13.44it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.10]

Epoch 73:  56%|█████▌    | 15/27 [00:01<00:00, 13.76it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.10]

Epoch 73:  56%|█████▌    | 15/27 [00:01<00:00, 13.75it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.10]

Epoch 73:  59%|█████▉    | 16/27 [00:01<00:00, 14.03it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.10]

Epoch 73:  59%|█████▉    | 16/27 [00:01<00:00, 14.02it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.10]

Epoch 73:  63%|██████▎   | 17/27 [00:01<00:00, 14.31it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.10]

Epoch 73:  63%|██████▎   | 17/27 [00:01<00:00, 14.30it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  67%|██████▋   | 18/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  67%|██████▋   | 18/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.10]

Epoch 73:  70%|███████   | 19/27 [00:01<00:00, 14.70it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.10]

Epoch 73:  70%|███████   | 19/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.10]

Epoch 73:  74%|███████▍  | 20/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.10]

Epoch 73:  74%|███████▍  | 20/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.10]

Epoch 73:  78%|███████▊  | 21/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.10]

Epoch 73:  78%|███████▊  | 21/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.10]

Epoch 73:  81%|████████▏ | 22/27 [00:01<00:00, 15.18it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.10]

Epoch 73:  81%|████████▏ | 22/27 [00:01<00:00, 15.17it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=62.10]

Epoch 73:  85%|████████▌ | 23/27 [00:01<00:00, 15.32it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=62.10]

Epoch 73:  85%|████████▌ | 23/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  89%|████████▉ | 24/27 [00:01<00:00, 15.45it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  89%|████████▉ | 24/27 [00:01<00:00, 15.44it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  93%|█████████▎| 25/27 [00:01<00:00, 15.57it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.10]

Epoch 73:  93%|█████████▎| 25/27 [00:01<00:00, 15.56it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.10]

Epoch 73:  96%|█████████▋| 26/27 [00:01<00:00, 15.68it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.10]

Epoch 73:  96%|█████████▋| 26/27 [00:01<00:00, 15.67it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.10]

Epoch 73: 100%|██████████| 27/27 [00:01<00:00, 15.88it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.10]

Epoch 73: 100%|██████████| 27/27 [00:01<00:00, 15.87it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=62.10]

Epoch 73: 100%|██████████| 27/27 [00:01<00:00, 15.85it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=62.00]

Epoch 73:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=62.00]         

Epoch 74:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=62.00]

Epoch 74:   4%|▎         | 1/27 [00:00<00:09,  2.82it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=62.00]

Epoch 74:   4%|▎         | 1/27 [00:00<00:09,  2.81it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:   7%|▋         | 2/27 [00:00<00:05,  4.91it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:   7%|▋         | 2/27 [00:00<00:05,  4.90it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.00]

Epoch 74:  11%|█         | 3/27 [00:00<00:03,  6.54it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.00]

Epoch 74:  11%|█         | 3/27 [00:00<00:03,  6.52it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  15%|█▍        | 4/27 [00:00<00:02,  7.70it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  15%|█▍        | 4/27 [00:00<00:02,  7.69it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  19%|█▊        | 5/27 [00:00<00:02,  8.50it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  19%|█▊        | 5/27 [00:00<00:02,  8.49it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  22%|██▏       | 6/27 [00:00<00:02,  9.11it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  22%|██▏       | 6/27 [00:00<00:02,  9.09it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=62.00]

Epoch 74:  26%|██▌       | 7/27 [00:00<00:02,  9.73it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=62.00]

Epoch 74:  26%|██▌       | 7/27 [00:00<00:02,  9.72it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.00]

Epoch 74:  30%|██▉       | 8/27 [00:00<00:01, 10.35it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.00]

Epoch 74:  30%|██▉       | 8/27 [00:00<00:01, 10.34it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.00]

Epoch 74:  33%|███▎      | 9/27 [00:00<00:01, 10.91it/s, v_num=0, train_loss_step=62.30, train_loss_epoch=62.00]

Epoch 74:  33%|███▎      | 9/27 [00:00<00:01, 10.90it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  37%|███▋      | 10/27 [00:00<00:01, 11.38it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  37%|███▋      | 10/27 [00:00<00:01, 11.36it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=62.00]

Epoch 74:  41%|████      | 11/27 [00:00<00:01, 11.80it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=62.00]

Epoch 74:  41%|████      | 11/27 [00:00<00:01, 11.79it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.00]

Epoch 74:  44%|████▍     | 12/27 [00:00<00:01, 12.21it/s, v_num=0, train_loss_step=62.20, train_loss_epoch=62.00]

Epoch 74:  44%|████▍     | 12/27 [00:00<00:01, 12.20it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.00]

Epoch 74:  48%|████▊     | 13/27 [00:01<00:01, 12.57it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=62.00]

Epoch 74:  48%|████▊     | 13/27 [00:01<00:01, 12.56it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.00]

Epoch 74:  52%|█████▏    | 14/27 [00:01<00:01, 12.92it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.00]

Epoch 74:  52%|█████▏    | 14/27 [00:01<00:01, 12.91it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.00]

Epoch 74:  56%|█████▌    | 15/27 [00:01<00:00, 13.23it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=62.00]

Epoch 74:  56%|█████▌    | 15/27 [00:01<00:00, 13.22it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.00]

Epoch 74:  59%|█████▉    | 16/27 [00:01<00:00, 13.49it/s, v_num=0, train_loss_step=62.40, train_loss_epoch=62.00]

Epoch 74:  59%|█████▉    | 16/27 [00:01<00:00, 13.48it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.00]

Epoch 74:  63%|██████▎   | 17/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.00]

Epoch 74:  63%|██████▎   | 17/27 [00:01<00:00, 13.69it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.00]

Epoch 74:  67%|██████▋   | 18/27 [00:01<00:00, 13.93it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.00]

Epoch 74:  67%|██████▋   | 18/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  70%|███████   | 19/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  70%|███████   | 19/27 [00:01<00:00, 14.14it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=62.00]

Epoch 74:  74%|███████▍  | 20/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=62.00]

Epoch 74:  74%|███████▍  | 20/27 [00:01<00:00, 14.25it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  78%|███████▊  | 21/27 [00:01<00:00, 14.43it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74:  78%|███████▊  | 21/27 [00:01<00:00, 14.42it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  81%|████████▏ | 22/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  81%|████████▏ | 22/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  85%|████████▌ | 23/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  85%|████████▌ | 23/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  89%|████████▉ | 24/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  89%|████████▉ | 24/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  93%|█████████▎| 25/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=62.00]

Epoch 74:  93%|█████████▎| 25/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.00]

Epoch 74:  96%|█████████▋| 26/27 [00:01<00:00, 15.19it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=62.00]

Epoch 74:  96%|█████████▋| 26/27 [00:01<00:00, 15.18it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74: 100%|██████████| 27/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=62.00]

Epoch 74: 100%|██████████| 27/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=62.00]

Epoch 74: 100%|██████████| 27/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 74:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]         

Epoch 75:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:   4%|▎         | 1/27 [00:00<00:09,  2.81it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:   4%|▎         | 1/27 [00:00<00:09,  2.79it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.90]

Epoch 75:   7%|▋         | 2/27 [00:00<00:05,  4.87it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.90]

Epoch 75:   7%|▋         | 2/27 [00:00<00:05,  4.86it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  11%|█         | 3/27 [00:00<00:03,  6.46it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  11%|█         | 3/27 [00:00<00:03,  6.44it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.90]

Epoch 75:  15%|█▍        | 4/27 [00:00<00:03,  7.52it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.90]

Epoch 75:  15%|█▍        | 4/27 [00:00<00:03,  7.51it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:  19%|█▊        | 5/27 [00:00<00:02,  8.37it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:  19%|█▊        | 5/27 [00:00<00:02,  8.35it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.90]

Epoch 75:  22%|██▏       | 6/27 [00:00<00:02,  9.21it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.90]

Epoch 75:  22%|██▏       | 6/27 [00:00<00:02,  9.19it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.90]

Epoch 75:  26%|██▌       | 7/27 [00:00<00:02,  9.85it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.90]

Epoch 75:  26%|██▌       | 7/27 [00:00<00:02,  9.83it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  30%|██▉       | 8/27 [00:00<00:01, 10.39it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  30%|██▉       | 8/27 [00:00<00:01, 10.38it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.90]

Epoch 75:  33%|███▎      | 9/27 [00:00<00:01, 10.99it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.90]

Epoch 75:  33%|███▎      | 9/27 [00:00<00:01, 10.98it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.90]

Epoch 75:  37%|███▋      | 10/27 [00:00<00:01, 11.45it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.90]

Epoch 75:  37%|███▋      | 10/27 [00:00<00:01, 11.44it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.90]

Epoch 75:  41%|████      | 11/27 [00:00<00:01, 11.91it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.90]

Epoch 75:  41%|████      | 11/27 [00:00<00:01, 11.90it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  44%|████▍     | 12/27 [00:00<00:01, 12.30it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  44%|████▍     | 12/27 [00:00<00:01, 12.29it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.90]

Epoch 75:  48%|████▊     | 13/27 [00:01<00:01, 12.64it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.90]

Epoch 75:  48%|████▊     | 13/27 [00:01<00:01, 12.63it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.90]

Epoch 75:  52%|█████▏    | 14/27 [00:01<00:00, 13.02it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.90]

Epoch 75:  52%|█████▏    | 14/27 [00:01<00:00, 13.01it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:  56%|█████▌    | 15/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:  56%|█████▌    | 15/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:  59%|█████▉    | 16/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:  59%|█████▉    | 16/27 [00:01<00:00, 13.56it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.90]

Epoch 75:  63%|██████▎   | 17/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.90]

Epoch 75:  63%|██████▎   | 17/27 [00:01<00:00, 13.85it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.90]

Epoch 75:  67%|██████▋   | 18/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.90]

Epoch 75:  67%|██████▋   | 18/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  70%|███████   | 19/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  70%|███████   | 19/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.90]

Epoch 75:  74%|███████▍  | 20/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.90]

Epoch 75:  74%|███████▍  | 20/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.90]

Epoch 75:  78%|███████▊  | 21/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.90]

Epoch 75:  78%|███████▊  | 21/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.90]

Epoch 75:  81%|████████▏ | 22/27 [00:01<00:00, 14.69it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.90]

Epoch 75:  81%|████████▏ | 22/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:  85%|████████▌ | 23/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75:  85%|████████▌ | 23/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.90]

Epoch 75:  89%|████████▉ | 24/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.90]

Epoch 75:  89%|████████▉ | 24/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  93%|█████████▎| 25/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.90]

Epoch 75:  93%|█████████▎| 25/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.90]

Epoch 75:  96%|█████████▋| 26/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.90]

Epoch 75:  96%|█████████▋| 26/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.90]

Epoch 75: 100%|██████████| 27/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.90]

Epoch 75: 100%|██████████| 27/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.90]

Epoch 75: 100%|██████████| 27/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 75:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]         

Epoch 76:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:   4%|▎         | 1/27 [00:00<00:08,  2.94it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:   4%|▎         | 1/27 [00:00<00:08,  2.91it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.70]

Epoch 76:   7%|▋         | 2/27 [00:00<00:04,  5.08it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.70]

Epoch 76:   7%|▋         | 2/27 [00:00<00:04,  5.06it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  11%|█         | 3/27 [00:00<00:03,  6.65it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  11%|█         | 3/27 [00:00<00:03,  6.64it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.70]

Epoch 76:  15%|█▍        | 4/27 [00:00<00:02,  7.92it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.70]

Epoch 76:  15%|█▍        | 4/27 [00:00<00:02,  7.90it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.70]

Epoch 76:  19%|█▊        | 5/27 [00:00<00:02,  8.78it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.70]

Epoch 76:  19%|█▊        | 5/27 [00:00<00:02,  8.76it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  22%|██▏       | 6/27 [00:00<00:02,  9.62it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  22%|██▏       | 6/27 [00:00<00:02,  9.61it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.70]

Epoch 76:  26%|██▌       | 7/27 [00:00<00:01, 10.23it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.70]

Epoch 76:  26%|██▌       | 7/27 [00:00<00:01, 10.22it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.70]

Epoch 76:  30%|██▉       | 8/27 [00:00<00:01, 10.91it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.70]

Epoch 76:  30%|██▉       | 8/27 [00:00<00:01, 10.89it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  33%|███▎      | 9/27 [00:00<00:01, 11.38it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  33%|███▎      | 9/27 [00:00<00:01, 11.36it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.70]

Epoch 76:  37%|███▋      | 10/27 [00:00<00:01, 11.88it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.70]

Epoch 76:  37%|███▋      | 10/27 [00:00<00:01, 11.86it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.70]

Epoch 76:  41%|████      | 11/27 [00:00<00:01, 12.27it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.70]

Epoch 76:  41%|████      | 11/27 [00:00<00:01, 12.26it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  44%|████▍     | 12/27 [00:00<00:01, 12.72it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  44%|████▍     | 12/27 [00:00<00:01, 12.71it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  48%|████▊     | 13/27 [00:00<00:01, 13.12it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  48%|████▊     | 13/27 [00:00<00:01, 13.11it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.70]

Epoch 76:  52%|█████▏    | 14/27 [00:01<00:00, 13.48it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.70]

Epoch 76:  52%|█████▏    | 14/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  56%|█████▌    | 15/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  56%|█████▌    | 15/27 [00:01<00:00, 13.79it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  59%|█████▉    | 16/27 [00:01<00:00, 14.03it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  59%|█████▉    | 16/27 [00:01<00:00, 14.02it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.70]

Epoch 76:  63%|██████▎   | 17/27 [00:01<00:00, 14.30it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.70]

Epoch 76:  63%|██████▎   | 17/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  67%|██████▋   | 18/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  67%|██████▋   | 18/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  70%|███████   | 19/27 [00:01<00:00, 14.69it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  70%|███████   | 19/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  74%|███████▍  | 20/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  74%|███████▍  | 20/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.70]

Epoch 76:  78%|███████▊  | 21/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.70]

Epoch 76:  78%|███████▊  | 21/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.70]

Epoch 76:  81%|████████▏ | 22/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.70]

Epoch 76:  81%|████████▏ | 22/27 [00:01<00:00, 15.19it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.70]

Epoch 76:  85%|████████▌ | 23/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.70]

Epoch 76:  85%|████████▌ | 23/27 [00:01<00:00, 15.32it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  89%|████████▉ | 24/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  89%|████████▉ | 24/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  93%|█████████▎| 25/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76:  93%|█████████▎| 25/27 [00:01<00:00, 15.64it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  96%|█████████▋| 26/27 [00:01<00:00, 15.80it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.70]

Epoch 76:  96%|█████████▋| 26/27 [00:01<00:00, 15.79it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.70]

Epoch 76: 100%|██████████| 27/27 [00:01<00:00, 16.01it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.70]

Epoch 76: 100%|██████████| 27/27 [00:01<00:00, 16.01it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.70]

Epoch 76: 100%|██████████| 27/27 [00:01<00:00, 15.99it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 76:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]         

Epoch 77:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:   4%|▎         | 1/27 [00:00<00:09,  2.81it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:   4%|▎         | 1/27 [00:00<00:09,  2.79it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.60]

Epoch 77:   7%|▋         | 2/27 [00:00<00:05,  4.76it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.60]

Epoch 77:   7%|▋         | 2/27 [00:00<00:05,  4.75it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=61.60]

Epoch 77:  11%|█         | 3/27 [00:00<00:03,  6.29it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=61.60]

Epoch 77:  11%|█         | 3/27 [00:00<00:03,  6.28it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  15%|█▍        | 4/27 [00:00<00:03,  7.55it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  15%|█▍        | 4/27 [00:00<00:03,  7.53it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.60]

Epoch 77:  19%|█▊        | 5/27 [00:00<00:02,  8.52it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.60]

Epoch 77:  19%|█▊        | 5/27 [00:00<00:02,  8.51it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.60]

Epoch 77:  22%|██▏       | 6/27 [00:00<00:02,  9.30it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.60]

Epoch 77:  22%|██▏       | 6/27 [00:00<00:02,  9.29it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.60]

Epoch 77:  26%|██▌       | 7/27 [00:00<00:01, 10.05it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.60]

Epoch 77:  26%|██▌       | 7/27 [00:00<00:01, 10.03it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.60]

Epoch 77:  30%|██▉       | 8/27 [00:00<00:01, 10.60it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.60]

Epoch 77:  30%|██▉       | 8/27 [00:00<00:01, 10.59it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.60]

Epoch 77:  33%|███▎      | 9/27 [00:00<00:01, 11.15it/s, v_num=0, train_loss_step=62.00, train_loss_epoch=61.60]

Epoch 77:  33%|███▎      | 9/27 [00:00<00:01, 11.13it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:  37%|███▋      | 10/27 [00:00<00:01, 11.63it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:  37%|███▋      | 10/27 [00:00<00:01, 11.62it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  41%|████      | 11/27 [00:00<00:01, 12.04it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  41%|████      | 11/27 [00:00<00:01, 12.03it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  44%|████▍     | 12/27 [00:00<00:01, 12.49it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  44%|████▍     | 12/27 [00:00<00:01, 12.48it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:  48%|████▊     | 13/27 [00:01<00:01, 12.84it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:  48%|████▊     | 13/27 [00:01<00:01, 12.83it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.60]

Epoch 77:  52%|█████▏    | 14/27 [00:01<00:00, 13.19it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.60]

Epoch 77:  52%|█████▏    | 14/27 [00:01<00:00, 13.18it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  56%|█████▌    | 15/27 [00:01<00:00, 13.50it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  56%|█████▌    | 15/27 [00:01<00:00, 13.49it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:  59%|█████▉    | 16/27 [00:01<00:00, 13.74it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:  59%|█████▉    | 16/27 [00:01<00:00, 13.73it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.60]

Epoch 77:  63%|██████▎   | 17/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.60]

Epoch 77:  63%|██████▎   | 17/27 [00:01<00:00, 13.91it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  67%|██████▋   | 18/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  67%|██████▋   | 18/27 [00:01<00:00, 14.15it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  70%|███████   | 19/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  70%|███████   | 19/27 [00:01<00:00, 14.32it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.60]

Epoch 77:  74%|███████▍  | 20/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.60]

Epoch 77:  74%|███████▍  | 20/27 [00:01<00:00, 14.49it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.60]

Epoch 77:  78%|███████▊  | 21/27 [00:01<00:00, 14.71it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.60]

Epoch 77:  78%|███████▊  | 21/27 [00:01<00:00, 14.70it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.60]

Epoch 77:  81%|████████▏ | 22/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.60]

Epoch 77:  81%|████████▏ | 22/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.60]

Epoch 77:  85%|████████▌ | 23/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.60]

Epoch 77:  85%|████████▌ | 23/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=61.60]

Epoch 77:  89%|████████▉ | 24/27 [00:01<00:00, 15.18it/s, v_num=0, train_loss_step=62.10, train_loss_epoch=61.60]

Epoch 77:  89%|████████▉ | 24/27 [00:01<00:00, 15.17it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:  93%|█████████▎| 25/27 [00:01<00:00, 15.32it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.60]

Epoch 77:  93%|█████████▎| 25/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  96%|█████████▋| 26/27 [00:01<00:00, 15.41it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.60]

Epoch 77:  96%|█████████▋| 26/27 [00:01<00:00, 15.40it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.60]

Epoch 77: 100%|██████████| 27/27 [00:01<00:00, 15.63it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.60]

Epoch 77: 100%|██████████| 27/27 [00:01<00:00, 15.62it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.60]

Epoch 77: 100%|██████████| 27/27 [00:01<00:00, 15.61it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.50]

Epoch 77:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.50]         

Epoch 78:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.50]

Epoch 78:   4%|▎         | 1/27 [00:00<00:08,  3.03it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.50]

Epoch 78:   4%|▎         | 1/27 [00:00<00:08,  3.02it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.50]

Epoch 78:   7%|▋         | 2/27 [00:00<00:04,  5.05it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.50]

Epoch 78:   7%|▋         | 2/27 [00:00<00:04,  5.03it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  11%|█         | 3/27 [00:00<00:03,  6.27it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  11%|█         | 3/27 [00:00<00:03,  6.26it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  15%|█▍        | 4/27 [00:00<00:03,  7.48it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  15%|█▍        | 4/27 [00:00<00:03,  7.46it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.50]

Epoch 78:  19%|█▊        | 5/27 [00:00<00:02,  8.62it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.50]

Epoch 78:  19%|█▊        | 5/27 [00:00<00:02,  8.61it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  22%|██▏       | 6/27 [00:00<00:02,  9.41it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  22%|██▏       | 6/27 [00:00<00:02,  9.39it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.50]

Epoch 78:  26%|██▌       | 7/27 [00:00<00:01, 10.11it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.50]

Epoch 78:  26%|██▌       | 7/27 [00:00<00:01, 10.10it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.50]

Epoch 78:  30%|██▉       | 8/27 [00:00<00:01, 10.65it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.50]

Epoch 78:  30%|██▉       | 8/27 [00:00<00:01, 10.64it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  33%|███▎      | 9/27 [00:00<00:01, 11.23it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  33%|███▎      | 9/27 [00:00<00:01, 11.22it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.50]

Epoch 78:  37%|███▋      | 10/27 [00:00<00:01, 11.72it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.50]

Epoch 78:  37%|███▋      | 10/27 [00:00<00:01, 11.71it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  41%|████      | 11/27 [00:00<00:01, 12.17it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  41%|████      | 11/27 [00:00<00:01, 12.16it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  44%|████▍     | 12/27 [00:00<00:01, 12.61it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.50]

Epoch 78:  44%|████▍     | 12/27 [00:00<00:01, 12.60it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  48%|████▊     | 13/27 [00:01<00:01, 12.96it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  48%|████▊     | 13/27 [00:01<00:01, 12.95it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.50]

Epoch 78:  52%|█████▏    | 14/27 [00:01<00:00, 13.33it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.50]

Epoch 78:  52%|█████▏    | 14/27 [00:01<00:00, 13.32it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  56%|█████▌    | 15/27 [00:01<00:00, 13.65it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  56%|█████▌    | 15/27 [00:01<00:00, 13.64it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  59%|█████▉    | 16/27 [00:01<00:00, 13.91it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  59%|█████▉    | 16/27 [00:01<00:00, 13.90it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.50]

Epoch 78:  63%|██████▎   | 17/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.50]

Epoch 78:  63%|██████▎   | 17/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.50]

Epoch 78:  67%|██████▋   | 18/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.50]

Epoch 78:  67%|██████▋   | 18/27 [00:01<00:00, 14.43it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  70%|███████   | 19/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  70%|███████   | 19/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.50]

Epoch 78:  74%|███████▍  | 20/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.50]

Epoch 78:  74%|███████▍  | 20/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.50]

Epoch 78:  78%|███████▊  | 21/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.50]

Epoch 78:  78%|███████▊  | 21/27 [00:01<00:00, 14.96it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.50]

Epoch 78:  81%|████████▏ | 22/27 [00:01<00:00, 15.18it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.50]

Epoch 78:  81%|████████▏ | 22/27 [00:01<00:00, 15.17it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  85%|████████▌ | 23/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78:  85%|████████▌ | 23/27 [00:01<00:00, 15.21it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.50]

Epoch 78:  89%|████████▉ | 24/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.50]

Epoch 78:  89%|████████▉ | 24/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.50]

Epoch 78:  93%|█████████▎| 25/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.50]

Epoch 78:  93%|█████████▎| 25/27 [00:01<00:00, 15.51it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.50]

Epoch 78:  96%|█████████▋| 26/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.50]

Epoch 78:  96%|█████████▋| 26/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.50]

Epoch 78: 100%|██████████| 27/27 [00:01<00:00, 15.87it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.50]

Epoch 78: 100%|██████████| 27/27 [00:01<00:00, 15.86it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.50]

Epoch 78: 100%|██████████| 27/27 [00:01<00:00, 15.84it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.40]

Epoch 78:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.40]         

Epoch 79:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.40]

Epoch 79:   4%|▎         | 1/27 [00:00<00:09,  2.84it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.40]

Epoch 79:   4%|▎         | 1/27 [00:00<00:09,  2.82it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.40]

Epoch 79:   7%|▋         | 2/27 [00:00<00:05,  4.94it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.40]

Epoch 79:   7%|▋         | 2/27 [00:00<00:05,  4.93it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.40]

Epoch 79:  11%|█         | 3/27 [00:00<00:03,  6.45it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.40]

Epoch 79:  11%|█         | 3/27 [00:00<00:03,  6.44it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  15%|█▍        | 4/27 [00:00<00:02,  7.77it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  15%|█▍        | 4/27 [00:00<00:02,  7.76it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.40]

Epoch 79:  19%|█▊        | 5/27 [00:00<00:02,  8.67it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.40]

Epoch 79:  19%|█▊        | 5/27 [00:00<00:02,  8.65it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.40]

Epoch 79:  22%|██▏       | 6/27 [00:00<00:02,  9.57it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.40]

Epoch 79:  22%|██▏       | 6/27 [00:00<00:02,  9.56it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.40]

Epoch 79:  26%|██▌       | 7/27 [00:00<00:01, 10.32it/s, v_num=0, train_loss_step=61.70, train_loss_epoch=61.40]

Epoch 79:  26%|██▌       | 7/27 [00:00<00:01, 10.30it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.40]

Epoch 79:  30%|██▉       | 8/27 [00:00<00:01, 10.96it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.40]

Epoch 79:  30%|██▉       | 8/27 [00:00<00:01, 10.94it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.40]

Epoch 79:  33%|███▎      | 9/27 [00:00<00:01, 11.62it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.40]

Epoch 79:  33%|███▎      | 9/27 [00:00<00:01, 11.60it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.40]

Epoch 79:  37%|███▋      | 10/27 [00:00<00:01, 12.03it/s, v_num=0, train_loss_step=61.90, train_loss_epoch=61.40]

Epoch 79:  37%|███▋      | 10/27 [00:00<00:01, 12.02it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.40]

Epoch 79:  41%|████      | 11/27 [00:00<00:01, 12.50it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.40]

Epoch 79:  41%|████      | 11/27 [00:00<00:01, 12.48it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.40]

Epoch 79:  44%|████▍     | 12/27 [00:00<00:01, 12.92it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.40]

Epoch 79:  44%|████▍     | 12/27 [00:00<00:01, 12.90it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  48%|████▊     | 13/27 [00:00<00:01, 13.32it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  48%|████▊     | 13/27 [00:00<00:01, 13.31it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=61.40]

Epoch 79:  52%|█████▏    | 14/27 [00:01<00:00, 13.67it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=61.40]

Epoch 79:  52%|█████▏    | 14/27 [00:01<00:00, 13.65it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.40]

Epoch 79:  56%|█████▌    | 15/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=61.80, train_loss_epoch=61.40]

Epoch 79:  56%|█████▌    | 15/27 [00:01<00:00, 13.98it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.40]

Epoch 79:  59%|█████▉    | 16/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.40]

Epoch 79:  59%|█████▉    | 16/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  63%|██████▎   | 17/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  63%|██████▎   | 17/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.40]

Epoch 79:  67%|██████▋   | 18/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.40]

Epoch 79:  67%|██████▋   | 18/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.40]

Epoch 79:  70%|███████   | 19/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.40]

Epoch 79:  70%|███████   | 19/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  74%|███████▍  | 20/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  74%|███████▍  | 20/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.40]

Epoch 79:  78%|███████▊  | 21/27 [00:01<00:00, 15.44it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.40]

Epoch 79:  78%|███████▊  | 21/27 [00:01<00:00, 15.43it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  81%|████████▏ | 22/27 [00:01<00:00, 15.58it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  81%|████████▏ | 22/27 [00:01<00:00, 15.56it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.40]

Epoch 79:  85%|████████▌ | 23/27 [00:01<00:00, 15.73it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.40]

Epoch 79:  85%|████████▌ | 23/27 [00:01<00:00, 15.72it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.40]

Epoch 79:  89%|████████▉ | 24/27 [00:01<00:00, 15.82it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.40]

Epoch 79:  89%|████████▉ | 24/27 [00:01<00:00, 15.81it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  93%|█████████▎| 25/27 [00:01<00:00, 15.96it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.40]

Epoch 79:  93%|█████████▎| 25/27 [00:01<00:00, 15.96it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.40]

Epoch 79:  96%|█████████▋| 26/27 [00:01<00:00, 16.09it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.40]

Epoch 79:  96%|█████████▋| 26/27 [00:01<00:00, 16.08it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.40]

Epoch 79: 100%|██████████| 27/27 [00:01<00:00, 16.31it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.40]

Epoch 79: 100%|██████████| 27/27 [00:01<00:00, 16.30it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.40]

Epoch 79: 100%|██████████| 27/27 [00:01<00:00, 16.29it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.30]

Epoch 79:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.30]         

Epoch 80:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.30]

Epoch 80:   4%|▎         | 1/27 [00:00<00:09,  2.76it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.30]

Epoch 80:   4%|▎         | 1/27 [00:00<00:09,  2.74it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.30]

Epoch 80:   7%|▋         | 2/27 [00:00<00:05,  4.80it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.30]

Epoch 80:   7%|▋         | 2/27 [00:00<00:05,  4.79it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.30]

Epoch 80:  11%|█         | 3/27 [00:00<00:03,  6.44it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.30]

Epoch 80:  11%|█         | 3/27 [00:00<00:03,  6.43it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.30]

Epoch 80:  15%|█▍        | 4/27 [00:00<00:02,  7.76it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.30]

Epoch 80:  15%|█▍        | 4/27 [00:00<00:02,  7.75it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  19%|█▊        | 5/27 [00:00<00:02,  8.83it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  19%|█▊        | 5/27 [00:00<00:02,  8.82it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.30]

Epoch 80:  22%|██▏       | 6/27 [00:00<00:02,  9.57it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.30]

Epoch 80:  22%|██▏       | 6/27 [00:00<00:02,  9.55it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80:  26%|██▌       | 7/27 [00:00<00:01, 10.22it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80:  26%|██▌       | 7/27 [00:00<00:01, 10.20it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.30]

Epoch 80:  30%|██▉       | 8/27 [00:00<00:01, 10.81it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.30]

Epoch 80:  30%|██▉       | 8/27 [00:00<00:01, 10.80it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=61.30]

Epoch 80:  33%|███▎      | 9/27 [00:00<00:01, 11.37it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=61.30]

Epoch 80:  33%|███▎      | 9/27 [00:00<00:01, 11.36it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.30]

Epoch 80:  37%|███▋      | 10/27 [00:00<00:01, 11.96it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.30]

Epoch 80:  37%|███▋      | 10/27 [00:00<00:01, 11.95it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  41%|████      | 11/27 [00:00<00:01, 12.46it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  41%|████      | 11/27 [00:00<00:01, 12.44it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=61.30]

Epoch 80:  44%|████▍     | 12/27 [00:00<00:01, 12.91it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=61.30]

Epoch 80:  44%|████▍     | 12/27 [00:00<00:01, 12.90it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.30]

Epoch 80:  48%|████▊     | 13/27 [00:00<00:01, 13.29it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.30]

Epoch 80:  48%|████▊     | 13/27 [00:00<00:01, 13.28it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.30]

Epoch 80:  52%|█████▏    | 14/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=61.50, train_loss_epoch=61.30]

Epoch 80:  52%|█████▏    | 14/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.30]

Epoch 80:  56%|█████▌    | 15/27 [00:01<00:00, 13.94it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.30]

Epoch 80:  56%|█████▌    | 15/27 [00:01<00:00, 13.93it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.30]

Epoch 80:  59%|█████▉    | 16/27 [00:01<00:00, 14.12it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.30]

Epoch 80:  59%|█████▉    | 16/27 [00:01<00:00, 14.11it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.30]

Epoch 80:  63%|██████▎   | 17/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.30]

Epoch 80:  63%|██████▎   | 17/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.30]

Epoch 80:  67%|██████▋   | 18/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.30]

Epoch 80:  67%|██████▋   | 18/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80:  70%|███████   | 19/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80:  70%|███████   | 19/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.30]

Epoch 80:  74%|███████▍  | 20/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.30]

Epoch 80:  74%|███████▍  | 20/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  78%|███████▊  | 21/27 [00:01<00:00, 15.18it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  78%|███████▊  | 21/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  81%|████████▏ | 22/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  81%|████████▏ | 22/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  85%|████████▌ | 23/27 [00:01<00:00, 15.62it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.30]

Epoch 80:  85%|████████▌ | 23/27 [00:01<00:00, 15.61it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80:  89%|████████▉ | 24/27 [00:01<00:00, 15.79it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80:  89%|████████▉ | 24/27 [00:01<00:00, 15.78it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.30]

Epoch 80:  93%|█████████▎| 25/27 [00:01<00:00, 15.93it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.30]

Epoch 80:  93%|█████████▎| 25/27 [00:01<00:00, 15.92it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80:  96%|█████████▋| 26/27 [00:01<00:00, 16.03it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80:  96%|█████████▋| 26/27 [00:01<00:00, 16.02it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80: 100%|██████████| 27/27 [00:01<00:00, 16.29it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.30]

Epoch 80: 100%|██████████| 27/27 [00:01<00:00, 16.28it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=61.30]

Epoch 80: 100%|██████████| 27/27 [00:01<00:00, 16.26it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=61.10]

Epoch 80:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=61.10]         

Epoch 81:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=61.10]

Epoch 81:   4%|▎         | 1/27 [00:00<00:09,  2.85it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=61.10]

Epoch 81:   4%|▎         | 1/27 [00:00<00:09,  2.83it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.10]

Epoch 81:   7%|▋         | 2/27 [00:00<00:05,  4.93it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.10]

Epoch 81:   7%|▋         | 2/27 [00:00<00:05,  4.92it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.10]

Epoch 81:  11%|█         | 3/27 [00:00<00:03,  6.53it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.10]

Epoch 81:  11%|█         | 3/27 [00:00<00:03,  6.51it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.10]

Epoch 81:  15%|█▍        | 4/27 [00:00<00:02,  7.83it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.10]

Epoch 81:  15%|█▍        | 4/27 [00:00<00:02,  7.82it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  19%|█▊        | 5/27 [00:00<00:02,  8.55it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  19%|█▊        | 5/27 [00:00<00:02,  8.54it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  22%|██▏       | 6/27 [00:00<00:02,  9.33it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  22%|██▏       | 6/27 [00:00<00:02,  9.32it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.10]

Epoch 81:  26%|██▌       | 7/27 [00:00<00:01, 10.01it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.10]

Epoch 81:  26%|██▌       | 7/27 [00:00<00:02,  9.99it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.10]

Epoch 81:  30%|██▉       | 8/27 [00:00<00:01, 10.65it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.10]

Epoch 81:  30%|██▉       | 8/27 [00:00<00:01, 10.64it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.10]

Epoch 81:  33%|███▎      | 9/27 [00:00<00:01, 11.23it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.10]

Epoch 81:  33%|███▎      | 9/27 [00:00<00:01, 11.21it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.10]

Epoch 81:  37%|███▋      | 10/27 [00:00<00:01, 11.72it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.10]

Epoch 81:  37%|███▋      | 10/27 [00:00<00:01, 11.71it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.10]

Epoch 81:  41%|████      | 11/27 [00:00<00:01, 12.19it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.10]

Epoch 81:  41%|████      | 11/27 [00:00<00:01, 12.18it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.10]

Epoch 81:  44%|████▍     | 12/27 [00:00<00:01, 12.63it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.10]

Epoch 81:  44%|████▍     | 12/27 [00:00<00:01, 12.62it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.10]

Epoch 81:  48%|████▊     | 13/27 [00:00<00:01, 13.02it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.10]

Epoch 81:  48%|████▊     | 13/27 [00:00<00:01, 13.01it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.10]

Epoch 81:  52%|█████▏    | 14/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.10]

Epoch 81:  52%|█████▏    | 14/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  56%|█████▌    | 15/27 [00:01<00:00, 13.63it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  56%|█████▌    | 15/27 [00:01<00:00, 13.62it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.10]

Epoch 81:  59%|█████▉    | 16/27 [00:01<00:00, 13.93it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.10]

Epoch 81:  59%|█████▉    | 16/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=61.10]

Epoch 81:  63%|██████▎   | 17/27 [00:01<00:00, 14.19it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=61.10]

Epoch 81:  63%|██████▎   | 17/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  67%|██████▋   | 18/27 [00:01<00:00, 14.42it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  67%|██████▋   | 18/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.10]

Epoch 81:  70%|███████   | 19/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.10]

Epoch 81:  70%|███████   | 19/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.10]

Epoch 81:  74%|███████▍  | 20/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.10]

Epoch 81:  74%|███████▍  | 20/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.10]

Epoch 81:  78%|███████▊  | 21/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=61.60, train_loss_epoch=61.10]

Epoch 81:  78%|███████▊  | 21/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=61.10]

Epoch 81:  81%|████████▏ | 22/27 [00:01<00:00, 15.17it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=61.10]

Epoch 81:  81%|████████▏ | 22/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.10]

Epoch 81:  85%|████████▌ | 23/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=61.40, train_loss_epoch=61.10]

Epoch 81:  85%|████████▌ | 23/27 [00:01<00:00, 15.32it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.10]

Epoch 81:  89%|████████▉ | 24/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.10]

Epoch 81:  89%|████████▉ | 24/27 [00:01<00:00, 15.46it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  93%|█████████▎| 25/27 [00:01<00:00, 15.58it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.10]

Epoch 81:  93%|█████████▎| 25/27 [00:01<00:00, 15.57it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.10]

Epoch 81:  96%|█████████▋| 26/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.10]

Epoch 81:  96%|█████████▋| 26/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.10]

Epoch 81: 100%|██████████| 27/27 [00:01<00:00, 15.86it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.10]

Epoch 81: 100%|██████████| 27/27 [00:01<00:00, 15.85it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.10]

Epoch 81: 100%|██████████| 27/27 [00:01<00:00, 15.84it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.00]

Epoch 81:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.00]         

Epoch 82:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.00]

Epoch 82:   4%|▎         | 1/27 [00:00<00:08,  3.03it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.00]

Epoch 82:   4%|▎         | 1/27 [00:00<00:08,  3.01it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:   7%|▋         | 2/27 [00:00<00:04,  5.30it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:   7%|▋         | 2/27 [00:00<00:04,  5.29it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.00]

Epoch 82:  11%|█         | 3/27 [00:00<00:03,  6.93it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.00]

Epoch 82:  11%|█         | 3/27 [00:00<00:03,  6.91it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.00]

Epoch 82:  15%|█▍        | 4/27 [00:00<00:02,  8.24it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=61.00]

Epoch 82:  15%|█▍        | 4/27 [00:00<00:02,  8.22it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.00]

Epoch 82:  19%|█▊        | 5/27 [00:00<00:02,  9.41it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.00]

Epoch 82:  19%|█▊        | 5/27 [00:00<00:02,  9.40it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  22%|██▏       | 6/27 [00:00<00:02, 10.17it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  22%|██▏       | 6/27 [00:00<00:02, 10.15it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82:  26%|██▌       | 7/27 [00:00<00:01, 10.85it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82:  26%|██▌       | 7/27 [00:00<00:01, 10.83it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  30%|██▉       | 8/27 [00:00<00:01, 11.57it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  30%|██▉       | 8/27 [00:00<00:01, 11.55it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82:  33%|███▎      | 9/27 [00:00<00:01, 12.28it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82:  33%|███▎      | 9/27 [00:00<00:01, 12.26it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.00]

Epoch 82:  37%|███▋      | 10/27 [00:00<00:01, 12.93it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.00]

Epoch 82:  37%|███▋      | 10/27 [00:00<00:01, 12.90it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  41%|████      | 11/27 [00:00<00:01, 13.32it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  41%|████      | 11/27 [00:00<00:01, 13.31it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  44%|████▍     | 12/27 [00:00<00:01, 13.69it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  44%|████▍     | 12/27 [00:00<00:01, 13.67it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  48%|████▊     | 13/27 [00:00<00:01, 13.96it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  48%|████▊     | 13/27 [00:00<00:01, 13.94it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  52%|█████▏    | 14/27 [00:00<00:00, 14.32it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  52%|█████▏    | 14/27 [00:00<00:00, 14.31it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.00]

Epoch 82:  56%|█████▌    | 15/27 [00:01<00:00, 14.53it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=61.00]

Epoch 82:  56%|█████▌    | 15/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82:  59%|█████▉    | 16/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82:  59%|█████▉    | 16/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  63%|██████▎   | 17/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  63%|██████▎   | 17/27 [00:01<00:00, 15.09it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  67%|██████▋   | 18/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  67%|██████▋   | 18/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  70%|███████   | 19/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  70%|███████   | 19/27 [00:01<00:00, 15.46it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.00]

Epoch 82:  74%|███████▍  | 20/27 [00:01<00:00, 15.59it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.00]

Epoch 82:  74%|███████▍  | 20/27 [00:01<00:00, 15.58it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  78%|███████▊  | 21/27 [00:01<00:00, 15.76it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=61.00]

Epoch 82:  78%|███████▊  | 21/27 [00:01<00:00, 15.75it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  81%|████████▏ | 22/27 [00:01<00:00, 15.89it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  81%|████████▏ | 22/27 [00:01<00:00, 15.88it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  85%|████████▌ | 23/27 [00:01<00:00, 16.02it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=61.00]

Epoch 82:  85%|████████▌ | 23/27 [00:01<00:00, 16.02it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82:  89%|████████▉ | 24/27 [00:01<00:00, 16.11it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82:  89%|████████▉ | 24/27 [00:01<00:00, 16.10it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.00]

Epoch 82:  93%|█████████▎| 25/27 [00:01<00:00, 16.24it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=61.00]

Epoch 82:  93%|█████████▎| 25/27 [00:01<00:00, 16.24it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.00]

Epoch 82:  96%|█████████▋| 26/27 [00:01<00:00, 16.42it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.00]

Epoch 82:  96%|█████████▋| 26/27 [00:01<00:00, 16.41it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82: 100%|██████████| 27/27 [00:01<00:00, 16.65it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=61.00]

Epoch 82: 100%|██████████| 27/27 [00:01<00:00, 16.64it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=61.00]

Epoch 82: 100%|██████████| 27/27 [00:01<00:00, 16.60it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=60.90]

Epoch 82:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=60.90]         

Epoch 83:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=60.90]

Epoch 83:   4%|▎         | 1/27 [00:00<00:08,  2.94it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=60.90]

Epoch 83:   4%|▎         | 1/27 [00:00<00:08,  2.92it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.90]

Epoch 83:   7%|▋         | 2/27 [00:00<00:05,  4.93it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.90]

Epoch 83:   7%|▋         | 2/27 [00:00<00:05,  4.92it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  11%|█         | 3/27 [00:00<00:03,  6.45it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  11%|█         | 3/27 [00:00<00:03,  6.44it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.90]

Epoch 83:  15%|█▍        | 4/27 [00:00<00:02,  7.71it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.90]

Epoch 83:  15%|█▍        | 4/27 [00:00<00:02,  7.70it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=60.90]

Epoch 83:  19%|█▊        | 5/27 [00:00<00:02,  8.82it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=60.90]

Epoch 83:  19%|█▊        | 5/27 [00:00<00:02,  8.80it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  22%|██▏       | 6/27 [00:00<00:02,  9.50it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  22%|██▏       | 6/27 [00:00<00:02,  9.49it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.90]

Epoch 83:  26%|██▌       | 7/27 [00:00<00:01, 10.29it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.90]

Epoch 83:  26%|██▌       | 7/27 [00:00<00:01, 10.28it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  30%|██▉       | 8/27 [00:00<00:01, 10.94it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  30%|██▉       | 8/27 [00:00<00:01, 10.92it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.90]

Epoch 83:  33%|███▎      | 9/27 [00:00<00:01, 11.57it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.90]

Epoch 83:  33%|███▎      | 9/27 [00:00<00:01, 11.56it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=60.90]

Epoch 83:  37%|███▋      | 10/27 [00:00<00:01, 12.08it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=60.90]

Epoch 83:  37%|███▋      | 10/27 [00:00<00:01, 12.07it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.90]

Epoch 83:  41%|████      | 11/27 [00:00<00:01, 12.52it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.90]

Epoch 83:  41%|████      | 11/27 [00:00<00:01, 12.50it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.90]

Epoch 83:  44%|████▍     | 12/27 [00:00<00:01, 12.99it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.90]

Epoch 83:  44%|████▍     | 12/27 [00:00<00:01, 12.98it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.90]

Epoch 83:  48%|████▊     | 13/27 [00:00<00:01, 13.40it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.90]

Epoch 83:  48%|████▊     | 13/27 [00:00<00:01, 13.39it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.90]

Epoch 83:  52%|█████▏    | 14/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.90]

Epoch 83:  52%|█████▏    | 14/27 [00:01<00:00, 13.79it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.90]

Epoch 83:  56%|█████▌    | 15/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.90]

Epoch 83:  56%|█████▌    | 15/27 [00:01<00:00, 14.16it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.90]

Epoch 83:  59%|█████▉    | 16/27 [00:01<00:00, 14.42it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.90]

Epoch 83:  59%|█████▉    | 16/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.90]

Epoch 83:  63%|██████▎   | 17/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.90]

Epoch 83:  63%|██████▎   | 17/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.90]

Epoch 83:  67%|██████▋   | 18/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.90]

Epoch 83:  67%|██████▋   | 18/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=60.90]

Epoch 83:  70%|███████   | 19/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=60.90]

Epoch 83:  70%|███████   | 19/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.90]

Epoch 83:  74%|███████▍  | 20/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.90]

Epoch 83:  74%|███████▍  | 20/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  78%|███████▊  | 21/27 [00:01<00:00, 15.57it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  78%|███████▊  | 21/27 [00:01<00:00, 15.56it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.90]

Epoch 83:  81%|████████▏ | 22/27 [00:01<00:00, 15.66it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.90]

Epoch 83:  81%|████████▏ | 22/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=60.90]

Epoch 83:  85%|████████▌ | 23/27 [00:01<00:00, 15.78it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=60.90]

Epoch 83:  85%|████████▌ | 23/27 [00:01<00:00, 15.77it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.90]

Epoch 83:  89%|████████▉ | 24/27 [00:01<00:00, 15.87it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.90]

Epoch 83:  89%|████████▉ | 24/27 [00:01<00:00, 15.86it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  93%|█████████▎| 25/27 [00:01<00:00, 15.98it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.90]

Epoch 83:  93%|█████████▎| 25/27 [00:01<00:00, 15.97it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.90]

Epoch 83:  96%|█████████▋| 26/27 [00:01<00:00, 16.06it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.90]

Epoch 83:  96%|█████████▋| 26/27 [00:01<00:00, 16.05it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.90]

Epoch 83: 100%|██████████| 27/27 [00:01<00:00, 16.26it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.90]

Epoch 83: 100%|██████████| 27/27 [00:01<00:00, 16.26it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.90]

Epoch 83: 100%|██████████| 27/27 [00:01<00:00, 16.24it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.80]

Epoch 83:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.80]         

Epoch 84:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.80]

Epoch 84:   4%|▎         | 1/27 [00:00<00:09,  2.79it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.80]

Epoch 84:   4%|▎         | 1/27 [00:00<00:09,  2.77it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:   7%|▋         | 2/27 [00:00<00:05,  4.69it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:   7%|▋         | 2/27 [00:00<00:05,  4.68it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  11%|█         | 3/27 [00:00<00:03,  6.12it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  11%|█         | 3/27 [00:00<00:03,  6.11it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.80]

Epoch 84:  15%|█▍        | 4/27 [00:00<00:03,  7.36it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.80]

Epoch 84:  15%|█▍        | 4/27 [00:00<00:03,  7.35it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  19%|█▊        | 5/27 [00:00<00:02,  8.41it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  19%|█▊        | 5/27 [00:00<00:02,  8.39it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  22%|██▏       | 6/27 [00:00<00:02,  9.06it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  22%|██▏       | 6/27 [00:00<00:02,  9.05it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.80]

Epoch 84:  26%|██▌       | 7/27 [00:00<00:02,  9.58it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.80]

Epoch 84:  26%|██▌       | 7/27 [00:00<00:02,  9.56it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.80]

Epoch 84:  30%|██▉       | 8/27 [00:00<00:01, 10.26it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.80]

Epoch 84:  30%|██▉       | 8/27 [00:00<00:01, 10.25it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.80]

Epoch 84:  33%|███▎      | 9/27 [00:00<00:01, 10.79it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.80]

Epoch 84:  33%|███▎      | 9/27 [00:00<00:01, 10.78it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.80]

Epoch 84:  37%|███▋      | 10/27 [00:00<00:01, 11.21it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.80]

Epoch 84:  37%|███▋      | 10/27 [00:00<00:01, 11.20it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.80]

Epoch 84:  41%|████      | 11/27 [00:00<00:01, 11.50it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.80]

Epoch 84:  41%|████      | 11/27 [00:00<00:01, 11.48it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.80]

Epoch 84:  44%|████▍     | 12/27 [00:01<00:01, 11.94it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.80]

Epoch 84:  44%|████▍     | 12/27 [00:01<00:01, 11.93it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.80]

Epoch 84:  48%|████▊     | 13/27 [00:01<00:01, 12.32it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.80]

Epoch 84:  48%|████▊     | 13/27 [00:01<00:01, 12.31it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  52%|█████▏    | 14/27 [00:01<00:01, 12.71it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  52%|█████▏    | 14/27 [00:01<00:01, 12.70it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.80]

Epoch 84:  56%|█████▌    | 15/27 [00:01<00:00, 13.03it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.80]

Epoch 84:  56%|█████▌    | 15/27 [00:01<00:00, 13.01it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.80]

Epoch 84:  59%|█████▉    | 16/27 [00:01<00:00, 13.37it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.80]

Epoch 84:  59%|█████▉    | 16/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.80]

Epoch 84:  63%|██████▎   | 17/27 [00:01<00:00, 13.65it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.80]

Epoch 84:  63%|██████▎   | 17/27 [00:01<00:00, 13.64it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.80]

Epoch 84:  67%|██████▋   | 18/27 [00:01<00:00, 13.73it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.80]

Epoch 84:  67%|██████▋   | 18/27 [00:01<00:00, 13.72it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.80]

Epoch 84:  70%|███████   | 19/27 [00:01<00:00, 13.84it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.80]

Epoch 84:  70%|███████   | 19/27 [00:01<00:00, 13.83it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.80]

Epoch 84:  74%|███████▍  | 20/27 [00:01<00:00, 13.92it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.80]

Epoch 84:  74%|███████▍  | 20/27 [00:01<00:00, 13.91it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.80]

Epoch 84:  78%|███████▊  | 21/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.80]

Epoch 84:  78%|███████▊  | 21/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  81%|████████▏ | 22/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84:  81%|████████▏ | 22/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.80]

Epoch 84:  85%|████████▌ | 23/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.80]

Epoch 84:  85%|████████▌ | 23/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.80]

Epoch 84:  89%|████████▉ | 24/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.80]

Epoch 84:  89%|████████▉ | 24/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.80]

Epoch 84:  93%|█████████▎| 25/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.80]

Epoch 84:  93%|█████████▎| 25/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=60.80]

Epoch 84:  96%|█████████▋| 26/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=60.80]

Epoch 84:  96%|█████████▋| 26/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=60.80]

Epoch 84: 100%|██████████| 27/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=60.80]

Epoch 84: 100%|██████████| 27/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.80]

Epoch 84: 100%|██████████| 27/27 [00:01<00:00, 14.96it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.70]

Epoch 84:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.70]         

Epoch 85:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.70]

Epoch 85:   4%|▎         | 1/27 [00:00<00:08,  3.00it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.70]

Epoch 85:   4%|▎         | 1/27 [00:00<00:08,  2.98it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.70]

Epoch 85:   7%|▋         | 2/27 [00:00<00:04,  5.11it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.70]

Epoch 85:   7%|▋         | 2/27 [00:00<00:04,  5.10it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.70]

Epoch 85:  11%|█         | 3/27 [00:00<00:03,  6.54it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.70]

Epoch 85:  11%|█         | 3/27 [00:00<00:03,  6.53it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.70]

Epoch 85:  15%|█▍        | 4/27 [00:00<00:02,  7.81it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.70]

Epoch 85:  15%|█▍        | 4/27 [00:00<00:02,  7.79it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.70]

Epoch 85:  19%|█▊        | 5/27 [00:00<00:02,  8.66it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.70]

Epoch 85:  19%|█▊        | 5/27 [00:00<00:02,  8.64it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85:  22%|██▏       | 6/27 [00:00<00:02,  9.33it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85:  22%|██▏       | 6/27 [00:00<00:02,  9.32it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85:  26%|██▌       | 7/27 [00:00<00:02, 10.00it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85:  26%|██▌       | 7/27 [00:00<00:02,  9.99it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=60.70]

Epoch 85:  30%|██▉       | 8/27 [00:00<00:01, 10.63it/s, v_num=0, train_loss_step=61.30, train_loss_epoch=60.70]

Epoch 85:  30%|██▉       | 8/27 [00:00<00:01, 10.62it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.70]

Epoch 85:  33%|███▎      | 9/27 [00:00<00:01, 11.07it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.70]

Epoch 85:  33%|███▎      | 9/27 [00:00<00:01, 11.06it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.70]

Epoch 85:  37%|███▋      | 10/27 [00:00<00:01, 11.39it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.70]

Epoch 85:  37%|███▋      | 10/27 [00:00<00:01, 11.38it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.70]

Epoch 85:  41%|████      | 11/27 [00:00<00:01, 11.80it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.70]

Epoch 85:  41%|████      | 11/27 [00:00<00:01, 11.79it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.70]

Epoch 85:  44%|████▍     | 12/27 [00:00<00:01, 12.10it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.70]

Epoch 85:  44%|████▍     | 12/27 [00:00<00:01, 12.09it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.70]

Epoch 85:  48%|████▊     | 13/27 [00:01<00:01, 12.45it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.70]

Epoch 85:  48%|████▊     | 13/27 [00:01<00:01, 12.44it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.70]

Epoch 85:  52%|█████▏    | 14/27 [00:01<00:01, 12.78it/s, v_num=0, train_loss_step=61.10, train_loss_epoch=60.70]

Epoch 85:  52%|█████▏    | 14/27 [00:01<00:01, 12.77it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=60.70]

Epoch 85:  56%|█████▌    | 15/27 [00:01<00:00, 13.06it/s, v_num=0, train_loss_step=61.20, train_loss_epoch=60.70]

Epoch 85:  56%|█████▌    | 15/27 [00:01<00:00, 13.05it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=60.70]

Epoch 85:  59%|█████▉    | 16/27 [00:01<00:00, 13.33it/s, v_num=0, train_loss_step=61.00, train_loss_epoch=60.70]

Epoch 85:  59%|█████▉    | 16/27 [00:01<00:00, 13.32it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.70]

Epoch 85:  63%|██████▎   | 17/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.70]

Epoch 85:  63%|██████▎   | 17/27 [00:01<00:00, 13.56it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85:  67%|██████▋   | 18/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85:  67%|██████▋   | 18/27 [00:01<00:00, 13.79it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.70]

Epoch 85:  70%|███████   | 19/27 [00:01<00:00, 14.00it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.70]

Epoch 85:  70%|███████   | 19/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.70]

Epoch 85:  74%|███████▍  | 20/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.70]

Epoch 85:  74%|███████▍  | 20/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.70]

Epoch 85:  78%|███████▊  | 21/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.70]

Epoch 85:  78%|███████▊  | 21/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.70]

Epoch 85:  81%|████████▏ | 22/27 [00:01<00:00, 14.50it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.70]

Epoch 85:  81%|████████▏ | 22/27 [00:01<00:00, 14.49it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85:  85%|████████▌ | 23/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85:  85%|████████▌ | 23/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.70]

Epoch 85:  89%|████████▉ | 24/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.70]

Epoch 85:  89%|████████▉ | 24/27 [00:01<00:00, 14.76it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.70]

Epoch 85:  93%|█████████▎| 25/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.70]

Epoch 85:  93%|█████████▎| 25/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.70]

Epoch 85:  96%|█████████▋| 26/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.70]

Epoch 85:  96%|█████████▋| 26/27 [00:01<00:00, 15.05it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85: 100%|██████████| 27/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.70]

Epoch 85: 100%|██████████| 27/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.70]

Epoch 85: 100%|██████████| 27/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.60]

Epoch 85:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.60]         

Epoch 86:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.60]

Epoch 86:   4%|▎         | 1/27 [00:00<00:08,  2.95it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.60]

Epoch 86:   4%|▎         | 1/27 [00:00<00:08,  2.93it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:   7%|▋         | 2/27 [00:00<00:05,  4.95it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:   7%|▋         | 2/27 [00:00<00:05,  4.94it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  11%|█         | 3/27 [00:00<00:03,  6.50it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  11%|█         | 3/27 [00:00<00:03,  6.49it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  15%|█▍        | 4/27 [00:00<00:03,  7.64it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  15%|█▍        | 4/27 [00:00<00:03,  7.63it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.60]

Epoch 86:  19%|█▊        | 5/27 [00:00<00:02,  8.70it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.60]

Epoch 86:  19%|█▊        | 5/27 [00:00<00:02,  8.69it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.60]

Epoch 86:  22%|██▏       | 6/27 [00:00<00:02,  9.33it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.60]

Epoch 86:  22%|██▏       | 6/27 [00:00<00:02,  9.31it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  26%|██▌       | 7/27 [00:00<00:02,  9.91it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  26%|██▌       | 7/27 [00:00<00:02,  9.89it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.60]

Epoch 86:  30%|██▉       | 8/27 [00:00<00:01, 10.55it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.60]

Epoch 86:  30%|██▉       | 8/27 [00:00<00:01, 10.54it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  33%|███▎      | 9/27 [00:00<00:01, 11.13it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  33%|███▎      | 9/27 [00:00<00:01, 11.12it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  37%|███▋      | 10/27 [00:00<00:01, 11.63it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  37%|███▋      | 10/27 [00:00<00:01, 11.61it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  41%|████      | 11/27 [00:00<00:01, 12.16it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  41%|████      | 11/27 [00:00<00:01, 12.14it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  44%|████▍     | 12/27 [00:00<00:01, 12.55it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  44%|████▍     | 12/27 [00:00<00:01, 12.54it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  48%|████▊     | 13/27 [00:01<00:01, 12.90it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  48%|████▊     | 13/27 [00:01<00:01, 12.89it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  52%|█████▏    | 14/27 [00:01<00:00, 13.19it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  52%|█████▏    | 14/27 [00:01<00:00, 13.18it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.60]

Epoch 86:  56%|█████▌    | 15/27 [00:01<00:00, 13.47it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.60]

Epoch 86:  56%|█████▌    | 15/27 [00:01<00:00, 13.46it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.60]

Epoch 86:  59%|█████▉    | 16/27 [00:01<00:00, 13.76it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.60]

Epoch 86:  59%|█████▉    | 16/27 [00:01<00:00, 13.75it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.60]

Epoch 86:  63%|██████▎   | 17/27 [00:01<00:00, 13.89it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.60]

Epoch 86:  63%|██████▎   | 17/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  67%|██████▋   | 18/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  67%|██████▋   | 18/27 [00:01<00:00, 14.03it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.60]

Epoch 86:  70%|███████   | 19/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.60]

Epoch 86:  70%|███████   | 19/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.60]

Epoch 86:  74%|███████▍  | 20/27 [00:01<00:00, 14.44it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.60]

Epoch 86:  74%|███████▍  | 20/27 [00:01<00:00, 14.43it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.60]

Epoch 86:  78%|███████▊  | 21/27 [00:01<00:00, 14.59it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.60]

Epoch 86:  78%|███████▊  | 21/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  81%|████████▏ | 22/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  81%|████████▏ | 22/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  85%|████████▌ | 23/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.60]

Epoch 86:  85%|████████▌ | 23/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  89%|████████▉ | 24/27 [00:01<00:00, 15.04it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  89%|████████▉ | 24/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  93%|█████████▎| 25/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.60]

Epoch 86:  93%|█████████▎| 25/27 [00:01<00:00, 15.19it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  96%|█████████▋| 26/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.60]

Epoch 86:  96%|█████████▋| 26/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.60]

Epoch 86: 100%|██████████| 27/27 [00:01<00:00, 15.49it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.60]

Epoch 86: 100%|██████████| 27/27 [00:01<00:00, 15.48it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.60]

Epoch 86: 100%|██████████| 27/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.50]

Epoch 86:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.50]         

Epoch 87:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.50]

Epoch 87:   4%|▎         | 1/27 [00:00<00:08,  3.02it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.50]

Epoch 87:   4%|▎         | 1/27 [00:00<00:08,  3.00it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.50]

Epoch 87:   7%|▋         | 2/27 [00:00<00:04,  5.10it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.50]

Epoch 87:   7%|▋         | 2/27 [00:00<00:04,  5.09it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.50]

Epoch 87:  11%|█         | 3/27 [00:00<00:03,  6.62it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.50]

Epoch 87:  11%|█         | 3/27 [00:00<00:03,  6.61it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.50]

Epoch 87:  15%|█▍        | 4/27 [00:00<00:02,  7.89it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.50]

Epoch 87:  15%|█▍        | 4/27 [00:00<00:02,  7.88it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.50]

Epoch 87:  19%|█▊        | 5/27 [00:00<00:02,  8.70it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.50]

Epoch 87:  19%|█▊        | 5/27 [00:00<00:02,  8.68it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.50]

Epoch 87:  22%|██▏       | 6/27 [00:00<00:02,  9.18it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.50]

Epoch 87:  22%|██▏       | 6/27 [00:00<00:02,  9.16it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.50]

Epoch 87:  26%|██▌       | 7/27 [00:00<00:02,  9.94it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.50]

Epoch 87:  26%|██▌       | 7/27 [00:00<00:02,  9.93it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.50]

Epoch 87:  30%|██▉       | 8/27 [00:00<00:01, 10.45it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.50]

Epoch 87:  30%|██▉       | 8/27 [00:00<00:01, 10.44it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.50]

Epoch 87:  33%|███▎      | 9/27 [00:00<00:01, 10.94it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.50]

Epoch 87:  33%|███▎      | 9/27 [00:00<00:01, 10.92it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.50]

Epoch 87:  37%|███▋      | 10/27 [00:00<00:01, 11.40it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.50]

Epoch 87:  37%|███▋      | 10/27 [00:00<00:01, 11.39it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.50]

Epoch 87:  41%|████      | 11/27 [00:00<00:01, 11.80it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.50]

Epoch 87:  41%|████      | 11/27 [00:00<00:01, 11.79it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.50]

Epoch 87:  44%|████▍     | 12/27 [00:00<00:01, 12.25it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.50]

Epoch 87:  44%|████▍     | 12/27 [00:00<00:01, 12.24it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.50]

Epoch 87:  48%|████▊     | 13/27 [00:01<00:01, 12.66it/s, v_num=0, train_loss_step=60.90, train_loss_epoch=60.50]

Epoch 87:  48%|████▊     | 13/27 [00:01<00:01, 12.64it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.50]

Epoch 87:  52%|█████▏    | 14/27 [00:01<00:01, 12.81it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.50]

Epoch 87:  52%|█████▏    | 14/27 [00:01<00:01, 12.79it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.50]

Epoch 87:  56%|█████▌    | 15/27 [00:01<00:00, 12.99it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.50]

Epoch 87:  56%|█████▌    | 15/27 [00:01<00:00, 12.98it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.50]

Epoch 87:  59%|█████▉    | 16/27 [00:01<00:00, 13.14it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.50]

Epoch 87:  59%|█████▉    | 16/27 [00:01<00:00, 13.13it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.50]

Epoch 87:  63%|██████▎   | 17/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.50]

Epoch 87:  63%|██████▎   | 17/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.50]

Epoch 87:  67%|██████▋   | 18/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.50]

Epoch 87:  67%|██████▋   | 18/27 [00:01<00:00, 13.35it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.50]

Epoch 87:  70%|███████   | 19/27 [00:01<00:00, 13.52it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.50]

Epoch 87:  70%|███████   | 19/27 [00:01<00:00, 13.51it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.50]

Epoch 87:  74%|███████▍  | 20/27 [00:01<00:00, 13.72it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.50]

Epoch 87:  74%|███████▍  | 20/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.50]

Epoch 87:  78%|███████▊  | 21/27 [00:01<00:00, 13.89it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.50]

Epoch 87:  78%|███████▊  | 21/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.50]

Epoch 87:  81%|████████▏ | 22/27 [00:01<00:00, 13.99it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.50]

Epoch 87:  81%|████████▏ | 22/27 [00:01<00:00, 13.98it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.50]

Epoch 87:  85%|████████▌ | 23/27 [00:01<00:00, 14.11it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.50]

Epoch 87:  85%|████████▌ | 23/27 [00:01<00:00, 14.10it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.50]

Epoch 87:  89%|████████▉ | 24/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.50]

Epoch 87:  89%|████████▉ | 24/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.50]

Epoch 87:  93%|█████████▎| 25/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.50]

Epoch 87:  93%|█████████▎| 25/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.50]

Epoch 87:  96%|█████████▋| 26/27 [00:01<00:00, 14.53it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.50]

Epoch 87:  96%|█████████▋| 26/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.50]

Epoch 87: 100%|██████████| 27/27 [00:01<00:00, 14.75it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.50]

Epoch 87: 100%|██████████| 27/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.50]

Epoch 87: 100%|██████████| 27/27 [00:01<00:00, 14.73it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.40]

Epoch 87:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.40]         

Epoch 88:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.40]

Epoch 88:   4%|▎         | 1/27 [00:00<00:08,  2.92it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.40]

Epoch 88:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:   7%|▋         | 2/27 [00:00<00:05,  4.87it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:   7%|▋         | 2/27 [00:00<00:05,  4.86it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.40]

Epoch 88:  11%|█         | 3/27 [00:00<00:03,  6.31it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.40]

Epoch 88:  11%|█         | 3/27 [00:00<00:03,  6.30it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  15%|█▍        | 4/27 [00:00<00:03,  7.37it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  15%|█▍        | 4/27 [00:00<00:03,  7.36it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  19%|█▊        | 5/27 [00:00<00:02,  8.37it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  19%|█▊        | 5/27 [00:00<00:02,  8.35it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.40]

Epoch 88:  22%|██▏       | 6/27 [00:00<00:02,  9.20it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.40]

Epoch 88:  22%|██▏       | 6/27 [00:00<00:02,  9.19it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  26%|██▌       | 7/27 [00:00<00:02,  9.67it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  26%|██▌       | 7/27 [00:00<00:02,  9.65it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.40]

Epoch 88:  30%|██▉       | 8/27 [00:00<00:01, 10.19it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.40]

Epoch 88:  30%|██▉       | 8/27 [00:00<00:01, 10.18it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.40]

Epoch 88:  33%|███▎      | 9/27 [00:00<00:01, 10.77it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.40]

Epoch 88:  33%|███▎      | 9/27 [00:00<00:01, 10.76it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.40]

Epoch 88:  37%|███▋      | 10/27 [00:00<00:01, 11.30it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.40]

Epoch 88:  37%|███▋      | 10/27 [00:00<00:01, 11.29it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.40]

Epoch 88:  41%|████      | 11/27 [00:00<00:01, 11.71it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.40]

Epoch 88:  41%|████      | 11/27 [00:00<00:01, 11.70it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  44%|████▍     | 12/27 [00:00<00:01, 12.13it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  44%|████▍     | 12/27 [00:00<00:01, 12.12it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  48%|████▊     | 13/27 [00:01<00:01, 12.49it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  48%|████▊     | 13/27 [00:01<00:01, 12.48it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  52%|█████▏    | 14/27 [00:01<00:01, 12.80it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  52%|█████▏    | 14/27 [00:01<00:01, 12.79it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.40]

Epoch 88:  56%|█████▌    | 15/27 [00:01<00:00, 13.11it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.40]

Epoch 88:  56%|█████▌    | 15/27 [00:01<00:00, 13.10it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.40]

Epoch 88:  59%|█████▉    | 16/27 [00:01<00:00, 13.37it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.40]

Epoch 88:  59%|█████▉    | 16/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  63%|██████▎   | 17/27 [00:01<00:00, 13.63it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  63%|██████▎   | 17/27 [00:01<00:00, 13.62it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.40]

Epoch 88:  67%|██████▋   | 18/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.40]

Epoch 88:  67%|██████▋   | 18/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.40]

Epoch 88:  70%|███████   | 19/27 [00:01<00:00, 14.03it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.40]

Epoch 88:  70%|███████   | 19/27 [00:01<00:00, 14.02it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  74%|███████▍  | 20/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  74%|███████▍  | 20/27 [00:01<00:00, 14.21it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.40]

Epoch 88:  78%|███████▊  | 21/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.40]

Epoch 88:  78%|███████▊  | 21/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  81%|████████▏ | 22/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.40]

Epoch 88:  81%|████████▏ | 22/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.40]

Epoch 88:  85%|████████▌ | 23/27 [00:01<00:00, 14.68it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.40]

Epoch 88:  85%|████████▌ | 23/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.40]

Epoch 88:  89%|████████▉ | 24/27 [00:01<00:00, 14.82it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.40]

Epoch 88:  89%|████████▉ | 24/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.40]

Epoch 88:  93%|█████████▎| 25/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.40]

Epoch 88:  93%|█████████▎| 25/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  96%|█████████▋| 26/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.40]

Epoch 88:  96%|█████████▋| 26/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.40]

Epoch 88: 100%|██████████| 27/27 [00:01<00:00, 14.94it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.40]

Epoch 88: 100%|██████████| 27/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.40]

Epoch 88: 100%|██████████| 27/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.30]

Epoch 88:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.30]         

Epoch 89:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.30]

Epoch 89:   4%|▎         | 1/27 [00:00<00:09,  2.73it/s, v_num=0, train_loss_step=60.40, train_loss_epoch=60.30]

Epoch 89:   4%|▎         | 1/27 [00:00<00:09,  2.71it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:   7%|▋         | 2/27 [00:00<00:05,  4.72it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:   7%|▋         | 2/27 [00:00<00:05,  4.71it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  11%|█         | 3/27 [00:00<00:03,  6.10it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  11%|█         | 3/27 [00:00<00:03,  6.09it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.30]

Epoch 89:  15%|█▍        | 4/27 [00:00<00:03,  7.27it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.30]

Epoch 89:  15%|█▍        | 4/27 [00:00<00:03,  7.25it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.30]

Epoch 89:  19%|█▊        | 5/27 [00:00<00:02,  8.27it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.30]

Epoch 89:  19%|█▊        | 5/27 [00:00<00:02,  8.25it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.30]

Epoch 89:  22%|██▏       | 6/27 [00:00<00:02,  9.17it/s, v_num=0, train_loss_step=60.80, train_loss_epoch=60.30]

Epoch 89:  22%|██▏       | 6/27 [00:00<00:02,  9.16it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  26%|██▌       | 7/27 [00:00<00:02,  9.59it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  26%|██▌       | 7/27 [00:00<00:02,  9.57it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.30]

Epoch 89:  30%|██▉       | 8/27 [00:00<00:01, 10.21it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.30]

Epoch 89:  30%|██▉       | 8/27 [00:00<00:01, 10.20it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  33%|███▎      | 9/27 [00:00<00:01, 10.83it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  33%|███▎      | 9/27 [00:00<00:01, 10.82it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.30]

Epoch 89:  37%|███▋      | 10/27 [00:00<00:01, 11.36it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.30]

Epoch 89:  37%|███▋      | 10/27 [00:00<00:01, 11.35it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.30]

Epoch 89:  41%|████      | 11/27 [00:00<00:01, 11.82it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.30]

Epoch 89:  41%|████      | 11/27 [00:00<00:01, 11.81it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  44%|████▍     | 12/27 [00:00<00:01, 12.19it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  44%|████▍     | 12/27 [00:00<00:01, 12.18it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  48%|████▊     | 13/27 [00:01<00:01, 12.49it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  48%|████▊     | 13/27 [00:01<00:01, 12.48it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.30]

Epoch 89:  52%|█████▏    | 14/27 [00:01<00:01, 12.79it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.30]

Epoch 89:  52%|█████▏    | 14/27 [00:01<00:01, 12.78it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.30]

Epoch 89:  56%|█████▌    | 15/27 [00:01<00:00, 13.08it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.30]

Epoch 89:  56%|█████▌    | 15/27 [00:01<00:00, 13.07it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  59%|█████▉    | 16/27 [00:01<00:00, 13.38it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  59%|█████▉    | 16/27 [00:01<00:00, 13.37it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  63%|██████▎   | 17/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  63%|██████▎   | 17/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  67%|██████▋   | 18/27 [00:01<00:00, 13.82it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.30]

Epoch 89:  67%|██████▋   | 18/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  70%|███████   | 19/27 [00:01<00:00, 13.98it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  70%|███████   | 19/27 [00:01<00:00, 13.97it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.30]

Epoch 89:  74%|███████▍  | 20/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.30]

Epoch 89:  74%|███████▍  | 20/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.30]

Epoch 89:  78%|███████▊  | 21/27 [00:01<00:00, 14.33it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.30]

Epoch 89:  78%|███████▊  | 21/27 [00:01<00:00, 14.32it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.30]

Epoch 89:  81%|████████▏ | 22/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.30]

Epoch 89:  81%|████████▏ | 22/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.30]

Epoch 89:  85%|████████▌ | 23/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.30]

Epoch 89:  85%|████████▌ | 23/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  89%|████████▉ | 24/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89:  89%|████████▉ | 24/27 [00:01<00:00, 14.78it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.30]

Epoch 89:  93%|█████████▎| 25/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.30]

Epoch 89:  93%|█████████▎| 25/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.30]

Epoch 89:  96%|█████████▋| 26/27 [00:01<00:00, 14.83it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.30]

Epoch 89:  96%|█████████▋| 26/27 [00:01<00:00, 14.82it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.30]

Epoch 89: 100%|██████████| 27/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.30]

Epoch 89: 100%|██████████| 27/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.30]

Epoch 89: 100%|██████████| 27/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 89:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]         

Epoch 90:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:   4%|▎         | 1/27 [00:00<00:09,  2.72it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:   4%|▎         | 1/27 [00:00<00:09,  2.70it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:   7%|▋         | 2/27 [00:00<00:05,  4.71it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:   7%|▋         | 2/27 [00:00<00:05,  4.70it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.20]

Epoch 90:  11%|█         | 3/27 [00:00<00:03,  6.23it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.20]

Epoch 90:  11%|█         | 3/27 [00:00<00:03,  6.22it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:  15%|█▍        | 4/27 [00:00<00:03,  7.29it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:  15%|█▍        | 4/27 [00:00<00:03,  7.28it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:  19%|█▊        | 5/27 [00:00<00:02,  8.29it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:  19%|█▊        | 5/27 [00:00<00:02,  8.28it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  22%|██▏       | 6/27 [00:00<00:02,  9.09it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  22%|██▏       | 6/27 [00:00<00:02,  9.08it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  26%|██▌       | 7/27 [00:00<00:02,  9.84it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  26%|██▌       | 7/27 [00:00<00:02,  9.83it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.20]

Epoch 90:  30%|██▉       | 8/27 [00:00<00:01, 10.21it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.20]

Epoch 90:  30%|██▉       | 8/27 [00:00<00:01, 10.19it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.20]

Epoch 90:  33%|███▎      | 9/27 [00:00<00:01, 10.67it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.20]

Epoch 90:  33%|███▎      | 9/27 [00:00<00:01, 10.66it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.20]

Epoch 90:  37%|███▋      | 10/27 [00:00<00:01, 11.05it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.20]

Epoch 90:  37%|███▋      | 10/27 [00:00<00:01, 11.04it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  41%|████      | 11/27 [00:00<00:01, 11.44it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  41%|████      | 11/27 [00:00<00:01, 11.43it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:  44%|████▍     | 12/27 [00:01<00:01, 11.87it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:  44%|████▍     | 12/27 [00:01<00:01, 11.85it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:  48%|████▊     | 13/27 [00:01<00:01, 12.22it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:  48%|████▊     | 13/27 [00:01<00:01, 12.21it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.20]

Epoch 90:  52%|█████▏    | 14/27 [00:01<00:01, 12.57it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.20]

Epoch 90:  52%|█████▏    | 14/27 [00:01<00:01, 12.56it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:  56%|█████▌    | 15/27 [00:01<00:00, 12.88it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:  56%|█████▌    | 15/27 [00:01<00:00, 12.87it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:  59%|█████▉    | 16/27 [00:01<00:00, 13.11it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:  59%|█████▉    | 16/27 [00:01<00:00, 13.10it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  63%|██████▎   | 17/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  63%|██████▎   | 17/27 [00:01<00:00, 13.35it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:  67%|██████▋   | 18/27 [00:01<00:00, 13.50it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.20]

Epoch 90:  67%|██████▋   | 18/27 [00:01<00:00, 13.49it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.20]

Epoch 90:  70%|███████   | 19/27 [00:01<00:00, 13.68it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.20]

Epoch 90:  70%|███████   | 19/27 [00:01<00:00, 13.67it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  74%|███████▍  | 20/27 [00:01<00:00, 13.81it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  74%|███████▍  | 20/27 [00:01<00:00, 13.80it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=60.20]

Epoch 90:  78%|███████▊  | 21/27 [00:01<00:00, 14.01it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=60.20]

Epoch 90:  78%|███████▊  | 21/27 [00:01<00:00, 14.00it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.20]

Epoch 90:  81%|████████▏ | 22/27 [00:01<00:00, 14.18it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.20]

Epoch 90:  81%|████████▏ | 22/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:  85%|████████▌ | 23/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.20]

Epoch 90:  85%|████████▌ | 23/27 [00:01<00:00, 14.25it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  89%|████████▉ | 24/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.20]

Epoch 90:  89%|████████▉ | 24/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.20]

Epoch 90:  93%|█████████▎| 25/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.20]

Epoch 90:  93%|█████████▎| 25/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.20]

Epoch 90:  96%|█████████▋| 26/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.20]

Epoch 90:  96%|█████████▋| 26/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=60.20]

Epoch 90: 100%|██████████| 27/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=60.20]

Epoch 90: 100%|██████████| 27/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.20]

Epoch 90: 100%|██████████| 27/27 [00:01<00:00, 14.84it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.10]

Epoch 90:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.10]         

Epoch 91:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.10]

Epoch 91:   4%|▎         | 1/27 [00:00<00:09,  2.72it/s, v_num=0, train_loss_step=60.70, train_loss_epoch=60.10]

Epoch 91:   4%|▎         | 1/27 [00:00<00:09,  2.71it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:   7%|▋         | 2/27 [00:00<00:05,  4.65it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:   7%|▋         | 2/27 [00:00<00:05,  4.64it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:  11%|█         | 3/27 [00:00<00:03,  6.04it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:  11%|█         | 3/27 [00:00<00:03,  6.03it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=60.10]

Epoch 91:  15%|█▍        | 4/27 [00:00<00:03,  7.09it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=60.10]

Epoch 91:  15%|█▍        | 4/27 [00:00<00:03,  7.08it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:  19%|█▊        | 5/27 [00:00<00:02,  8.11it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:  19%|█▊        | 5/27 [00:00<00:02,  8.10it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.10]

Epoch 91:  22%|██▏       | 6/27 [00:00<00:02,  8.84it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.10]

Epoch 91:  22%|██▏       | 6/27 [00:00<00:02,  8.83it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.10]

Epoch 91:  26%|██▌       | 7/27 [00:00<00:02,  9.52it/s, v_num=0, train_loss_step=60.60, train_loss_epoch=60.10]

Epoch 91:  26%|██▌       | 7/27 [00:00<00:02,  9.51it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.10]

Epoch 91:  30%|██▉       | 8/27 [00:00<00:01, 10.03it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.10]

Epoch 91:  30%|██▉       | 8/27 [00:00<00:01, 10.00it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.10]

Epoch 91:  33%|███▎      | 9/27 [00:00<00:01, 10.57it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.10]

Epoch 91:  33%|███▎      | 9/27 [00:00<00:01, 10.56it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:  37%|███▋      | 10/27 [00:00<00:01, 11.08it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:  37%|███▋      | 10/27 [00:00<00:01, 11.06it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.10]

Epoch 91:  41%|████      | 11/27 [00:00<00:01, 11.51it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.10]

Epoch 91:  41%|████      | 11/27 [00:00<00:01, 11.50it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.10]

Epoch 91:  44%|████▍     | 12/27 [00:01<00:01, 11.93it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.10]

Epoch 91:  44%|████▍     | 12/27 [00:01<00:01, 11.91it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.10]

Epoch 91:  48%|████▊     | 13/27 [00:01<00:01, 12.31it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.10]

Epoch 91:  48%|████▊     | 13/27 [00:01<00:01, 12.29it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=60.10]

Epoch 91:  52%|█████▏    | 14/27 [00:01<00:01, 12.66it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=60.10]

Epoch 91:  52%|█████▏    | 14/27 [00:01<00:01, 12.65it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.10]

Epoch 91:  56%|█████▌    | 15/27 [00:01<00:00, 13.01it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=60.10]

Epoch 91:  56%|█████▌    | 15/27 [00:01<00:00, 13.00it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.10]

Epoch 91:  59%|█████▉    | 16/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.10]

Epoch 91:  59%|█████▉    | 16/27 [00:01<00:00, 13.28it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=60.10]

Epoch 91:  63%|██████▎   | 17/27 [00:01<00:00, 13.57it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=60.10]

Epoch 91:  63%|██████▎   | 17/27 [00:01<00:00, 13.56it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.10]

Epoch 91:  67%|██████▋   | 18/27 [00:01<00:00, 13.78it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.10]

Epoch 91:  67%|██████▋   | 18/27 [00:01<00:00, 13.76it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.10]

Epoch 91:  70%|███████   | 19/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.10]

Epoch 91:  70%|███████   | 19/27 [00:01<00:00, 14.03it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.10]

Epoch 91:  74%|███████▍  | 20/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.10]

Epoch 91:  74%|███████▍  | 20/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=60.10]

Epoch 91:  78%|███████▊  | 21/27 [00:01<00:00, 14.38it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=60.10]

Epoch 91:  78%|███████▊  | 21/27 [00:01<00:00, 14.37it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.10]

Epoch 91:  81%|████████▏ | 22/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.10]

Epoch 91:  81%|████████▏ | 22/27 [00:01<00:00, 14.54it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.10]

Epoch 91:  85%|████████▌ | 23/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.10]

Epoch 91:  85%|████████▌ | 23/27 [00:01<00:00, 14.60it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.10]

Epoch 91:  89%|████████▉ | 24/27 [00:01<00:00, 14.75it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.10]

Epoch 91:  89%|████████▉ | 24/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.10]

Epoch 91:  93%|█████████▎| 25/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.10]

Epoch 91:  93%|█████████▎| 25/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:  96%|█████████▋| 26/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.10]

Epoch 91:  96%|█████████▋| 26/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.10]

Epoch 91: 100%|██████████| 27/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.10]

Epoch 91: 100%|██████████| 27/27 [00:01<00:00, 15.19it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.10]

Epoch 91: 100%|██████████| 27/27 [00:01<00:00, 15.15it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 91:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]         

Epoch 92:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 92:   4%|▎         | 1/27 [00:00<00:09,  2.89it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 92:   4%|▎         | 1/27 [00:00<00:09,  2.87it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:   7%|▋         | 2/27 [00:00<00:05,  4.85it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:   7%|▋         | 2/27 [00:00<00:05,  4.84it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  11%|█         | 3/27 [00:00<00:03,  6.46it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  11%|█         | 3/27 [00:00<00:03,  6.44it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.00]

Epoch 92:  15%|█▍        | 4/27 [00:00<00:03,  7.43it/s, v_num=0, train_loss_step=60.50, train_loss_epoch=60.00]

Epoch 92:  15%|█▍        | 4/27 [00:00<00:03,  7.41it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 92:  19%|█▊        | 5/27 [00:00<00:02,  8.49it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 92:  19%|█▊        | 5/27 [00:00<00:02,  8.48it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  22%|██▏       | 6/27 [00:00<00:02,  9.07it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  22%|██▏       | 6/27 [00:00<00:02,  9.06it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=60.00]

Epoch 92:  26%|██▌       | 7/27 [00:00<00:02,  9.71it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=60.00]

Epoch 92:  26%|██▌       | 7/27 [00:00<00:02,  9.69it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.00]

Epoch 92:  30%|██▉       | 8/27 [00:00<00:01, 10.15it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.00]

Epoch 92:  30%|██▉       | 8/27 [00:00<00:01, 10.14it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 92:  33%|███▎      | 9/27 [00:00<00:01, 10.65it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 92:  33%|███▎      | 9/27 [00:00<00:01, 10.64it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.00]

Epoch 92:  37%|███▋      | 10/27 [00:00<00:01, 11.16it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.00]

Epoch 92:  37%|███▋      | 10/27 [00:00<00:01, 11.15it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 92:  41%|████      | 11/27 [00:00<00:01, 11.50it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 92:  41%|████      | 11/27 [00:00<00:01, 11.49it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  44%|████▍     | 12/27 [00:01<00:01, 11.96it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  44%|████▍     | 12/27 [00:01<00:01, 11.95it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  48%|████▊     | 13/27 [00:01<00:01, 12.34it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  48%|████▊     | 13/27 [00:01<00:01, 12.33it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.00]

Epoch 92:  52%|█████▏    | 14/27 [00:01<00:01, 12.68it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.00]

Epoch 92:  52%|█████▏    | 14/27 [00:01<00:01, 12.66it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  56%|█████▌    | 15/27 [00:01<00:00, 12.98it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  56%|█████▌    | 15/27 [00:01<00:00, 12.97it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.00]

Epoch 92:  59%|█████▉    | 16/27 [00:01<00:00, 13.29it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.00]

Epoch 92:  59%|█████▉    | 16/27 [00:01<00:00, 13.28it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:  63%|██████▎   | 17/27 [00:01<00:00, 13.62it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:  63%|██████▎   | 17/27 [00:01<00:00, 13.61it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:  67%|██████▋   | 18/27 [00:01<00:00, 13.89it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:  67%|██████▋   | 18/27 [00:01<00:00, 13.88it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  70%|███████   | 19/27 [00:01<00:00, 14.10it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  70%|███████   | 19/27 [00:01<00:00, 14.09it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:  74%|███████▍  | 20/27 [00:01<00:00, 14.30it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:  74%|███████▍  | 20/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  78%|███████▊  | 21/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  78%|███████▊  | 21/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  81%|████████▏ | 22/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=60.00]

Epoch 92:  81%|████████▏ | 22/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:  85%|████████▌ | 23/27 [00:01<00:00, 14.81it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=60.00]

Epoch 92:  85%|████████▌ | 23/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.00]

Epoch 92:  89%|████████▉ | 24/27 [00:01<00:00, 14.98it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=60.00]

Epoch 92:  89%|████████▉ | 24/27 [00:01<00:00, 14.97it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.00]

Epoch 92:  93%|█████████▎| 25/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=60.00]

Epoch 92:  93%|█████████▎| 25/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.00]

Epoch 92:  96%|█████████▋| 26/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.00]

Epoch 92:  96%|█████████▋| 26/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.00]

Epoch 92: 100%|██████████| 27/27 [00:01<00:00, 15.48it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=60.00]

Epoch 92: 100%|██████████| 27/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=60.00]

Epoch 92: 100%|██████████| 27/27 [00:01<00:00, 15.45it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.90]

Epoch 92:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.90]         

Epoch 93:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.90]

Epoch 93:   4%|▎         | 1/27 [00:00<00:09,  2.88it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.90]

Epoch 93:   4%|▎         | 1/27 [00:00<00:09,  2.86it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=59.90]

Epoch 93:   7%|▋         | 2/27 [00:00<00:05,  4.85it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=59.90]

Epoch 93:   7%|▋         | 2/27 [00:00<00:05,  4.84it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.90]

Epoch 93:  11%|█         | 3/27 [00:00<00:03,  6.31it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.90]

Epoch 93:  11%|█         | 3/27 [00:00<00:03,  6.30it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.90]

Epoch 93:  15%|█▍        | 4/27 [00:00<00:03,  7.65it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.90]

Epoch 93:  15%|█▍        | 4/27 [00:00<00:03,  7.63it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.90]

Epoch 93:  19%|█▊        | 5/27 [00:00<00:02,  8.82it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.90]

Epoch 93:  19%|█▊        | 5/27 [00:00<00:02,  8.80it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.90]

Epoch 93:  22%|██▏       | 6/27 [00:00<00:02,  9.73it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.90]

Epoch 93:  22%|██▏       | 6/27 [00:00<00:02,  9.71it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=59.90]

Epoch 93:  26%|██▌       | 7/27 [00:00<00:01, 10.48it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=59.90]

Epoch 93:  26%|██▌       | 7/27 [00:00<00:01, 10.47it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.90]

Epoch 93:  30%|██▉       | 8/27 [00:00<00:01, 11.03it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.90]

Epoch 93:  30%|██▉       | 8/27 [00:00<00:01, 11.02it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  33%|███▎      | 9/27 [00:00<00:01, 11.64it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  33%|███▎      | 9/27 [00:00<00:01, 11.62it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.90]

Epoch 93:  37%|███▋      | 10/27 [00:00<00:01, 12.20it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.90]

Epoch 93:  37%|███▋      | 10/27 [00:00<00:01, 12.19it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.90]

Epoch 93:  41%|████      | 11/27 [00:00<00:01, 12.79it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.90]

Epoch 93:  41%|████      | 11/27 [00:00<00:01, 12.78it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.90]

Epoch 93:  44%|████▍     | 12/27 [00:00<00:01, 13.33it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.90]

Epoch 93:  44%|████▍     | 12/27 [00:00<00:01, 13.32it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.90]

Epoch 93:  48%|████▊     | 13/27 [00:00<00:01, 13.84it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.90]

Epoch 93:  48%|████▊     | 13/27 [00:00<00:01, 13.81it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.90]

Epoch 93:  52%|█████▏    | 14/27 [00:00<00:00, 14.21it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.90]

Epoch 93:  52%|█████▏    | 14/27 [00:00<00:00, 14.19it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  56%|█████▌    | 15/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  56%|█████▌    | 15/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  59%|█████▉    | 16/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  59%|█████▉    | 16/27 [00:01<00:00, 14.89it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.90]

Epoch 93:  63%|██████▎   | 17/27 [00:01<00:00, 15.04it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.90]

Epoch 93:  63%|██████▎   | 17/27 [00:01<00:00, 15.03it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.90]

Epoch 93:  67%|██████▋   | 18/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.90]

Epoch 93:  67%|██████▋   | 18/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.90]

Epoch 93:  70%|███████   | 19/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.90]

Epoch 93:  70%|███████   | 19/27 [00:01<00:00, 15.31it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.90]

Epoch 93:  74%|███████▍  | 20/27 [00:01<00:00, 15.55it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.90]

Epoch 93:  74%|███████▍  | 20/27 [00:01<00:00, 15.54it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.90]

Epoch 93:  78%|███████▊  | 21/27 [00:01<00:00, 15.78it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.90]

Epoch 93:  78%|███████▊  | 21/27 [00:01<00:00, 15.77it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  81%|████████▏ | 22/27 [00:01<00:00, 15.97it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  81%|████████▏ | 22/27 [00:01<00:00, 15.96it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.90]

Epoch 93:  85%|████████▌ | 23/27 [00:01<00:00, 16.15it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.90]

Epoch 93:  85%|████████▌ | 23/27 [00:01<00:00, 16.14it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.90]

Epoch 93:  89%|████████▉ | 24/27 [00:01<00:00, 16.27it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.90]

Epoch 93:  89%|████████▉ | 24/27 [00:01<00:00, 16.25it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=59.90]

Epoch 93:  93%|█████████▎| 25/27 [00:01<00:00, 16.33it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=59.90]

Epoch 93:  93%|█████████▎| 25/27 [00:01<00:00, 16.32it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  96%|█████████▋| 26/27 [00:01<00:00, 16.48it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.90]

Epoch 93:  96%|█████████▋| 26/27 [00:01<00:00, 16.47it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.90]

Epoch 93: 100%|██████████| 27/27 [00:01<00:00, 16.71it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.90]

Epoch 93: 100%|██████████| 27/27 [00:01<00:00, 16.70it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.90]

Epoch 93: 100%|██████████| 27/27 [00:01<00:00, 16.69it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.80]

Epoch 93:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.80]         

Epoch 94:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.80]

Epoch 94:   4%|▎         | 1/27 [00:00<00:09,  2.86it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.80]

Epoch 94:   4%|▎         | 1/27 [00:00<00:09,  2.84it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=59.80]

Epoch 94:   7%|▋         | 2/27 [00:00<00:05,  4.86it/s, v_num=0, train_loss_step=60.20, train_loss_epoch=59.80]

Epoch 94:   7%|▋         | 2/27 [00:00<00:05,  4.85it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.80]

Epoch 94:  11%|█         | 3/27 [00:00<00:03,  6.24it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.80]

Epoch 94:  11%|█         | 3/27 [00:00<00:03,  6.23it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.80]

Epoch 94:  15%|█▍        | 4/27 [00:00<00:03,  7.34it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.80]

Epoch 94:  15%|█▍        | 4/27 [00:00<00:03,  7.33it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94:  19%|█▊        | 5/27 [00:00<00:02,  8.35it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94:  19%|█▊        | 5/27 [00:00<00:02,  8.33it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94:  22%|██▏       | 6/27 [00:00<00:02,  9.10it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94:  22%|██▏       | 6/27 [00:00<00:02,  9.09it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.80]

Epoch 94:  26%|██▌       | 7/27 [00:00<00:02,  9.81it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.80]

Epoch 94:  26%|██▌       | 7/27 [00:00<00:02,  9.79it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.80]

Epoch 94:  30%|██▉       | 8/27 [00:00<00:01, 10.40it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.80]

Epoch 94:  30%|██▉       | 8/27 [00:00<00:01, 10.39it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.80]

Epoch 94:  33%|███▎      | 9/27 [00:00<00:01, 10.94it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.80]

Epoch 94:  33%|███▎      | 9/27 [00:00<00:01, 10.93it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.80]

Epoch 94:  37%|███▋      | 10/27 [00:00<00:01, 11.36it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.80]

Epoch 94:  37%|███▋      | 10/27 [00:00<00:01, 11.35it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=59.80]

Epoch 94:  41%|████      | 11/27 [00:00<00:01, 11.76it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=59.80]

Epoch 94:  41%|████      | 11/27 [00:00<00:01, 11.75it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.80]

Epoch 94:  44%|████▍     | 12/27 [00:01<00:01, 11.99it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.80]

Epoch 94:  44%|████▍     | 12/27 [00:01<00:01, 11.98it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.80]

Epoch 94:  48%|████▊     | 13/27 [00:01<00:01, 12.34it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.80]

Epoch 94:  48%|████▊     | 13/27 [00:01<00:01, 12.33it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.80]

Epoch 94:  52%|█████▏    | 14/27 [00:01<00:01, 12.65it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.80]

Epoch 94:  52%|█████▏    | 14/27 [00:01<00:01, 12.64it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94:  56%|█████▌    | 15/27 [00:01<00:00, 12.94it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94:  56%|█████▌    | 15/27 [00:01<00:00, 12.93it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.80]

Epoch 94:  59%|█████▉    | 16/27 [00:01<00:00, 13.17it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.80]

Epoch 94:  59%|█████▉    | 16/27 [00:01<00:00, 13.16it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94:  63%|██████▎   | 17/27 [00:01<00:00, 13.44it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94:  63%|██████▎   | 17/27 [00:01<00:00, 13.43it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.80]

Epoch 94:  67%|██████▋   | 18/27 [00:01<00:00, 13.69it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.80]

Epoch 94:  67%|██████▋   | 18/27 [00:01<00:00, 13.68it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.80]

Epoch 94:  70%|███████   | 19/27 [00:01<00:00, 13.94it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.80]

Epoch 94:  70%|███████   | 19/27 [00:01<00:00, 13.93it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.80]

Epoch 94:  74%|███████▍  | 20/27 [00:01<00:00, 14.12it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.80]

Epoch 94:  74%|███████▍  | 20/27 [00:01<00:00, 14.11it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.80]

Epoch 94:  78%|███████▊  | 21/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.80]

Epoch 94:  78%|███████▊  | 21/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.80]

Epoch 94:  81%|████████▏ | 22/27 [00:01<00:00, 14.36it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.80]

Epoch 94:  81%|████████▏ | 22/27 [00:01<00:00, 14.35it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.80]

Epoch 94:  85%|████████▌ | 23/27 [00:01<00:00, 14.52it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.80]

Epoch 94:  85%|████████▌ | 23/27 [00:01<00:00, 14.51it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.80]

Epoch 94:  89%|████████▉ | 24/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.80]

Epoch 94:  89%|████████▉ | 24/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.80]

Epoch 94:  93%|█████████▎| 25/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.80]

Epoch 94:  93%|█████████▎| 25/27 [00:01<00:00, 14.77it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.80]

Epoch 94:  96%|█████████▋| 26/27 [00:01<00:00, 14.91it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.80]

Epoch 94:  96%|█████████▋| 26/27 [00:01<00:00, 14.90it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94: 100%|██████████| 27/27 [00:01<00:00, 15.12it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.80]

Epoch 94: 100%|██████████| 27/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.80]

Epoch 94: 100%|██████████| 27/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 94:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]         

Epoch 95:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:   4%|▎         | 1/27 [00:00<00:09,  2.82it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:   4%|▎         | 1/27 [00:00<00:09,  2.80it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:   7%|▋         | 2/27 [00:00<00:05,  4.87it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:   7%|▋         | 2/27 [00:00<00:05,  4.85it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.70]

Epoch 95:  11%|█         | 3/27 [00:00<00:03,  6.40it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.70]

Epoch 95:  11%|█         | 3/27 [00:00<00:03,  6.38it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.70]

Epoch 95:  15%|█▍        | 4/27 [00:00<00:03,  7.64it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.70]

Epoch 95:  15%|█▍        | 4/27 [00:00<00:03,  7.63it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.70]

Epoch 95:  19%|█▊        | 5/27 [00:00<00:02,  8.71it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.70]

Epoch 95:  19%|█▊        | 5/27 [00:00<00:02,  8.70it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.70]

Epoch 95:  22%|██▏       | 6/27 [00:00<00:02,  9.53it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.70]

Epoch 95:  22%|██▏       | 6/27 [00:00<00:02,  9.52it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.70]

Epoch 95:  26%|██▌       | 7/27 [00:00<00:01, 10.12it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.70]

Epoch 95:  26%|██▌       | 7/27 [00:00<00:01, 10.11it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.70]

Epoch 95:  30%|██▉       | 8/27 [00:00<00:01, 10.63it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.70]

Epoch 95:  30%|██▉       | 8/27 [00:00<00:01, 10.62it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=59.70]

Epoch 95:  33%|███▎      | 9/27 [00:00<00:01, 11.05it/s, v_num=0, train_loss_step=60.30, train_loss_epoch=59.70]

Epoch 95:  33%|███▎      | 9/27 [00:00<00:01, 11.04it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  37%|███▋      | 10/27 [00:00<00:01, 11.52it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  37%|███▋      | 10/27 [00:00<00:01, 11.51it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.70]

Epoch 95:  41%|████      | 11/27 [00:00<00:01, 11.96it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.70]

Epoch 95:  41%|████      | 11/27 [00:00<00:01, 11.95it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.70]

Epoch 95:  44%|████▍     | 12/27 [00:00<00:01, 12.38it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.70]

Epoch 95:  44%|████▍     | 12/27 [00:00<00:01, 12.37it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:  48%|████▊     | 13/27 [00:01<00:01, 12.74it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:  48%|████▊     | 13/27 [00:01<00:01, 12.72it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.70]

Epoch 95:  52%|█████▏    | 14/27 [00:01<00:00, 13.07it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.70]

Epoch 95:  52%|█████▏    | 14/27 [00:01<00:00, 13.06it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.70]

Epoch 95:  56%|█████▌    | 15/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.70]

Epoch 95:  56%|█████▌    | 15/27 [00:01<00:00, 13.35it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  59%|█████▉    | 16/27 [00:01<00:00, 13.65it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  59%|█████▉    | 16/27 [00:01<00:00, 13.64it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.70]

Epoch 95:  63%|██████▎   | 17/27 [00:01<00:00, 13.87it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.70]

Epoch 95:  63%|██████▎   | 17/27 [00:01<00:00, 13.85it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:  67%|██████▋   | 18/27 [00:01<00:00, 14.07it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:  67%|██████▋   | 18/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:  70%|███████   | 19/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:  70%|███████   | 19/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  74%|███████▍  | 20/27 [00:01<00:00, 14.41it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  74%|███████▍  | 20/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  78%|███████▊  | 21/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  78%|███████▊  | 21/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  81%|████████▏ | 22/27 [00:01<00:00, 14.72it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.70]

Epoch 95:  81%|████████▏ | 22/27 [00:01<00:00, 14.71it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.70]

Epoch 95:  85%|████████▌ | 23/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.70]

Epoch 95:  85%|████████▌ | 23/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.70]

Epoch 95:  89%|████████▉ | 24/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.70]

Epoch 95:  89%|████████▉ | 24/27 [00:01<00:00, 14.99it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:  93%|█████████▎| 25/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.70]

Epoch 95:  93%|█████████▎| 25/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.70]

Epoch 95:  96%|█████████▋| 26/27 [00:01<00:00, 15.20it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.70]

Epoch 95:  96%|█████████▋| 26/27 [00:01<00:00, 15.19it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.70]

Epoch 95: 100%|██████████| 27/27 [00:01<00:00, 15.39it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.70]

Epoch 95: 100%|██████████| 27/27 [00:01<00:00, 15.38it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.70]

Epoch 95: 100%|██████████| 27/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 95:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]         

Epoch 96:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:   4%|▎         | 1/27 [00:00<00:08,  2.94it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:   4%|▎         | 1/27 [00:00<00:08,  2.91it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:   7%|▋         | 2/27 [00:00<00:05,  4.94it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:   7%|▋         | 2/27 [00:00<00:05,  4.93it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  11%|█         | 3/27 [00:00<00:03,  6.37it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  11%|█         | 3/27 [00:00<00:03,  6.36it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  15%|█▍        | 4/27 [00:00<00:03,  7.63it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  15%|█▍        | 4/27 [00:00<00:03,  7.62it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.60]

Epoch 96:  19%|█▊        | 5/27 [00:00<00:02,  8.60it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.60]

Epoch 96:  19%|█▊        | 5/27 [00:00<00:02,  8.58it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.60]

Epoch 96:  22%|██▏       | 6/27 [00:00<00:02,  9.28it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.60]

Epoch 96:  22%|██▏       | 6/27 [00:00<00:02,  9.26it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  26%|██▌       | 7/27 [00:00<00:02,  9.97it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  26%|██▌       | 7/27 [00:00<00:02,  9.96it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.60]

Epoch 96:  30%|██▉       | 8/27 [00:00<00:01, 10.55it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.60]

Epoch 96:  30%|██▉       | 8/27 [00:00<00:01, 10.53it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  33%|███▎      | 9/27 [00:00<00:01, 10.93it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  33%|███▎      | 9/27 [00:00<00:01, 10.92it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.60]

Epoch 96:  37%|███▋      | 10/27 [00:00<00:01, 11.43it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.60]

Epoch 96:  37%|███▋      | 10/27 [00:00<00:01, 11.42it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  41%|████      | 11/27 [00:00<00:01, 11.83it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  41%|████      | 11/27 [00:00<00:01, 11.82it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.60]

Epoch 96:  44%|████▍     | 12/27 [00:00<00:01, 12.22it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.60]

Epoch 96:  44%|████▍     | 12/27 [00:00<00:01, 12.21it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  48%|████▊     | 13/27 [00:01<00:01, 12.63it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  48%|████▊     | 13/27 [00:01<00:01, 12.62it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.60]

Epoch 96:  52%|█████▏    | 14/27 [00:01<00:01, 12.90it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.60]

Epoch 96:  52%|█████▏    | 14/27 [00:01<00:01, 12.89it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.60]

Epoch 96:  56%|█████▌    | 15/27 [00:01<00:00, 13.10it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.60]

Epoch 96:  56%|█████▌    | 15/27 [00:01<00:00, 13.09it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.60]

Epoch 96:  59%|█████▉    | 16/27 [00:01<00:00, 13.36it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.60]

Epoch 96:  59%|█████▉    | 16/27 [00:01<00:00, 13.35it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.60]

Epoch 96:  63%|██████▎   | 17/27 [00:01<00:00, 13.60it/s, v_num=0, train_loss_step=60.10, train_loss_epoch=59.60]

Epoch 96:  63%|██████▎   | 17/27 [00:01<00:00, 13.58it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  67%|██████▋   | 18/27 [00:01<00:00, 13.84it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  67%|██████▋   | 18/27 [00:01<00:00, 13.83it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.60]

Epoch 96:  70%|███████   | 19/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.60]

Epoch 96:  70%|███████   | 19/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  74%|███████▍  | 20/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  74%|███████▍  | 20/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  78%|███████▊  | 21/27 [00:01<00:00, 14.43it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  78%|███████▊  | 21/27 [00:01<00:00, 14.42it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  81%|████████▏ | 22/27 [00:01<00:00, 14.59it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.60]

Epoch 96:  81%|████████▏ | 22/27 [00:01<00:00, 14.58it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  85%|████████▌ | 23/27 [00:01<00:00, 14.75it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.60]

Epoch 96:  85%|████████▌ | 23/27 [00:01<00:00, 14.74it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.60]

Epoch 96:  89%|████████▉ | 24/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.60]

Epoch 96:  89%|████████▉ | 24/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.60]

Epoch 96:  93%|█████████▎| 25/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.60]

Epoch 96:  93%|█████████▎| 25/27 [00:01<00:00, 15.00it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.60]

Epoch 96:  96%|█████████▋| 26/27 [00:01<00:00, 15.11it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.60]

Epoch 96:  96%|█████████▋| 26/27 [00:01<00:00, 15.10it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.60]

Epoch 96: 100%|██████████| 27/27 [00:01<00:00, 15.30it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.60]

Epoch 96: 100%|██████████| 27/27 [00:01<00:00, 15.29it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.60]

Epoch 96: 100%|██████████| 27/27 [00:01<00:00, 15.28it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.50]

Epoch 96:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.50]         

Epoch 97:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.50]

Epoch 97:   4%|▎         | 1/27 [00:00<00:08,  2.92it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.50]

Epoch 97:   4%|▎         | 1/27 [00:00<00:08,  2.90it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.50]

Epoch 97:   7%|▋         | 2/27 [00:00<00:05,  4.87it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.50]

Epoch 97:   7%|▋         | 2/27 [00:00<00:05,  4.86it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.50]

Epoch 97:  11%|█         | 3/27 [00:00<00:03,  6.52it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.50]

Epoch 97:  11%|█         | 3/27 [00:00<00:03,  6.51it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.50]

Epoch 97:  15%|█▍        | 4/27 [00:00<00:02,  7.76it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.50]

Epoch 97:  15%|█▍        | 4/27 [00:00<00:02,  7.75it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.50]

Epoch 97:  19%|█▊        | 5/27 [00:00<00:02,  8.70it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.50]

Epoch 97:  19%|█▊        | 5/27 [00:00<00:02,  8.68it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.50]

Epoch 97:  22%|██▏       | 6/27 [00:00<00:02,  9.28it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.50]

Epoch 97:  22%|██▏       | 6/27 [00:00<00:02,  9.27it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.50]

Epoch 97:  26%|██▌       | 7/27 [00:00<00:01, 10.07it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.50]

Epoch 97:  26%|██▌       | 7/27 [00:00<00:01, 10.05it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  30%|██▉       | 8/27 [00:00<00:01, 10.54it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  30%|██▉       | 8/27 [00:00<00:01, 10.52it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.50]

Epoch 97:  33%|███▎      | 9/27 [00:00<00:01, 11.02it/s, v_num=0, train_loss_step=60.00, train_loss_epoch=59.50]

Epoch 97:  33%|███▎      | 9/27 [00:00<00:01, 11.01it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  37%|███▋      | 10/27 [00:00<00:01, 11.45it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  37%|███▋      | 10/27 [00:00<00:01, 11.44it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.50]

Epoch 97:  41%|████      | 11/27 [00:00<00:01, 11.91it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.50]

Epoch 97:  41%|████      | 11/27 [00:00<00:01, 11.90it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.50]

Epoch 97:  44%|████▍     | 12/27 [00:00<00:01, 12.30it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.50]

Epoch 97:  44%|████▍     | 12/27 [00:00<00:01, 12.29it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.50]

Epoch 97:  48%|████▊     | 13/27 [00:01<00:01, 12.65it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.50]

Epoch 97:  48%|████▊     | 13/27 [00:01<00:01, 12.64it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.50]

Epoch 97:  52%|█████▏    | 14/27 [00:01<00:00, 13.01it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.50]

Epoch 97:  52%|█████▏    | 14/27 [00:01<00:01, 13.00it/s, v_num=0, train_loss_step=58.70, train_loss_epoch=59.50]

Epoch 97:  56%|█████▌    | 15/27 [00:01<00:00, 13.31it/s, v_num=0, train_loss_step=58.70, train_loss_epoch=59.50]

Epoch 97:  56%|█████▌    | 15/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.50]

Epoch 97:  59%|█████▉    | 16/27 [00:01<00:00, 13.55it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.50]

Epoch 97:  59%|█████▉    | 16/27 [00:01<00:00, 13.54it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  63%|██████▎   | 17/27 [00:01<00:00, 13.78it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  63%|██████▎   | 17/27 [00:01<00:00, 13.77it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.50]

Epoch 97:  67%|██████▋   | 18/27 [00:01<00:00, 13.98it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.50]

Epoch 97:  67%|██████▋   | 18/27 [00:01<00:00, 13.97it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.50]

Epoch 97:  70%|███████   | 19/27 [00:01<00:00, 14.17it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.50]

Epoch 97:  70%|███████   | 19/27 [00:01<00:00, 14.16it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.50]

Epoch 97:  74%|███████▍  | 20/27 [00:01<00:00, 14.27it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.50]

Epoch 97:  74%|███████▍  | 20/27 [00:01<00:00, 14.26it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.50]

Epoch 97:  78%|███████▊  | 21/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.50]

Epoch 97:  78%|███████▊  | 21/27 [00:01<00:00, 14.47it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.50]

Epoch 97:  81%|████████▏ | 22/27 [00:01<00:00, 14.63it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.50]

Epoch 97:  81%|████████▏ | 22/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  85%|████████▌ | 23/27 [00:01<00:00, 14.75it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  85%|████████▌ | 23/27 [00:01<00:00, 14.75it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.50]

Epoch 97:  89%|████████▉ | 24/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.50]

Epoch 97:  89%|████████▉ | 24/27 [00:01<00:00, 14.88it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.50]

Epoch 97:  93%|█████████▎| 25/27 [00:01<00:00, 15.02it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.50]

Epoch 97:  93%|█████████▎| 25/27 [00:01<00:00, 15.01it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  96%|█████████▋| 26/27 [00:01<00:00, 15.14it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97:  96%|█████████▋| 26/27 [00:01<00:00, 15.13it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.50]

Epoch 97: 100%|██████████| 27/27 [00:01<00:00, 15.35it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.50]

Epoch 97: 100%|██████████| 27/27 [00:01<00:00, 15.34it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.50]

Epoch 97: 100%|██████████| 27/27 [00:01<00:00, 15.33it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 97:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]         

Epoch 98:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:   4%|▎         | 1/27 [00:00<00:09,  2.87it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:   4%|▎         | 1/27 [00:00<00:09,  2.85it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.40]

Epoch 98:   7%|▋         | 2/27 [00:00<00:05,  4.78it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.40]

Epoch 98:   7%|▋         | 2/27 [00:00<00:05,  4.76it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  11%|█         | 3/27 [00:00<00:03,  6.31it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  11%|█         | 3/27 [00:00<00:03,  6.30it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.40]

Epoch 98:  15%|█▍        | 4/27 [00:00<00:03,  7.51it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.40]

Epoch 98:  15%|█▍        | 4/27 [00:00<00:03,  7.50it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.40]

Epoch 98:  19%|█▊        | 5/27 [00:00<00:02,  8.49it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.40]

Epoch 98:  19%|█▊        | 5/27 [00:00<00:02,  8.48it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.40]

Epoch 98:  22%|██▏       | 6/27 [00:00<00:02,  9.15it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.40]

Epoch 98:  22%|██▏       | 6/27 [00:00<00:02,  9.14it/s, v_num=0, train_loss_step=58.80, train_loss_epoch=59.40]

Epoch 98:  26%|██▌       | 7/27 [00:00<00:02,  9.63it/s, v_num=0, train_loss_step=58.80, train_loss_epoch=59.40]

Epoch 98:  26%|██▌       | 7/27 [00:00<00:02,  9.61it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.40]

Epoch 98:  30%|██▉       | 8/27 [00:00<00:01, 10.07it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.40]

Epoch 98:  30%|██▉       | 8/27 [00:00<00:01, 10.06it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  33%|███▎      | 9/27 [00:00<00:01, 10.58it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  33%|███▎      | 9/27 [00:00<00:01, 10.57it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.40]

Epoch 98:  37%|███▋      | 10/27 [00:00<00:01, 10.99it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.40]

Epoch 98:  37%|███▋      | 10/27 [00:00<00:01, 10.98it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  41%|████      | 11/27 [00:00<00:01, 11.37it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  41%|████      | 11/27 [00:00<00:01, 11.36it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  44%|████▍     | 12/27 [00:01<00:01, 11.74it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  44%|████▍     | 12/27 [00:01<00:01, 11.72it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.40]

Epoch 98:  48%|████▊     | 13/27 [00:01<00:01, 12.08it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.40]

Epoch 98:  48%|████▊     | 13/27 [00:01<00:01, 12.07it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  52%|█████▏    | 14/27 [00:01<00:01, 12.36it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  52%|█████▏    | 14/27 [00:01<00:01, 12.35it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.40]

Epoch 98:  56%|█████▌    | 15/27 [00:01<00:00, 12.64it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.40]

Epoch 98:  56%|█████▌    | 15/27 [00:01<00:00, 12.63it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  59%|█████▉    | 16/27 [00:01<00:00, 12.90it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  59%|█████▉    | 16/27 [00:01<00:00, 12.89it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  63%|██████▎   | 17/27 [00:01<00:00, 13.18it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  63%|██████▎   | 17/27 [00:01<00:00, 13.17it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  67%|██████▋   | 18/27 [00:01<00:00, 13.40it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  67%|██████▋   | 18/27 [00:01<00:00, 13.39it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.40]

Epoch 98:  70%|███████   | 19/27 [00:01<00:00, 13.67it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.40]

Epoch 98:  70%|███████   | 19/27 [00:01<00:00, 13.66it/s, v_num=0, train_loss_step=58.70, train_loss_epoch=59.40]

Epoch 98:  74%|███████▍  | 20/27 [00:01<00:00, 13.87it/s, v_num=0, train_loss_step=58.70, train_loss_epoch=59.40]

Epoch 98:  74%|███████▍  | 20/27 [00:01<00:00, 13.86it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  78%|███████▊  | 21/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.40]

Epoch 98:  78%|███████▊  | 21/27 [00:01<00:00, 14.04it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  81%|████████▏ | 22/27 [00:01<00:00, 14.23it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  81%|████████▏ | 22/27 [00:01<00:00, 14.22it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.40]

Epoch 98:  85%|████████▌ | 23/27 [00:01<00:00, 14.40it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.40]

Epoch 98:  85%|████████▌ | 23/27 [00:01<00:00, 14.39it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.40]

Epoch 98:  89%|████████▉ | 24/27 [00:01<00:00, 14.56it/s, v_num=0, train_loss_step=59.80, train_loss_epoch=59.40]

Epoch 98:  89%|████████▉ | 24/27 [00:01<00:00, 14.55it/s, v_num=0, train_loss_step=58.80, train_loss_epoch=59.40]

Epoch 98:  93%|█████████▎| 25/27 [00:01<00:00, 14.62it/s, v_num=0, train_loss_step=58.80, train_loss_epoch=59.40]

Epoch 98:  93%|█████████▎| 25/27 [00:01<00:00, 14.61it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  96%|█████████▋| 26/27 [00:01<00:00, 14.67it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.40]

Epoch 98:  96%|█████████▋| 26/27 [00:01<00:00, 14.66it/s, v_num=0, train_loss_step=58.60, train_loss_epoch=59.40]

Epoch 98: 100%|██████████| 27/27 [00:01<00:00, 14.87it/s, v_num=0, train_loss_step=58.60, train_loss_epoch=59.40]

Epoch 98: 100%|██████████| 27/27 [00:01<00:00, 14.86it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.40]

Epoch 98: 100%|██████████| 27/27 [00:01<00:00, 14.85it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 98:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]         

Epoch 99:   0%|          | 0/27 [00:00<?, ?it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:   4%|▎         | 1/27 [00:00<00:08,  2.89it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:   4%|▎         | 1/27 [00:00<00:09,  2.87it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.30]

Epoch 99:   7%|▋         | 2/27 [00:00<00:05,  4.96it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.30]

Epoch 99:   7%|▋         | 2/27 [00:00<00:05,  4.95it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.30]

Epoch 99:  11%|█         | 3/27 [00:00<00:03,  6.57it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.30]

Epoch 99:  11%|█         | 3/27 [00:00<00:03,  6.56it/s, v_num=0, train_loss_step=58.50, train_loss_epoch=59.30]

Epoch 99:  15%|█▍        | 4/27 [00:00<00:03,  7.64it/s, v_num=0, train_loss_step=58.50, train_loss_epoch=59.30]

Epoch 99:  15%|█▍        | 4/27 [00:00<00:03,  7.63it/s, v_num=0, train_loss_step=58.80, train_loss_epoch=59.30]

Epoch 99:  19%|█▊        | 5/27 [00:00<00:02,  8.60it/s, v_num=0, train_loss_step=58.80, train_loss_epoch=59.30]

Epoch 99:  19%|█▊        | 5/27 [00:00<00:02,  8.58it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.30]

Epoch 99:  22%|██▏       | 6/27 [00:00<00:02,  9.44it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.30]

Epoch 99:  22%|██▏       | 6/27 [00:00<00:02,  9.42it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.30]

Epoch 99:  26%|██▌       | 7/27 [00:00<00:01, 10.06it/s, v_num=0, train_loss_step=59.70, train_loss_epoch=59.30]

Epoch 99:  26%|██▌       | 7/27 [00:00<00:01, 10.05it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.30]

Epoch 99:  30%|██▉       | 8/27 [00:00<00:01, 10.64it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.30]

Epoch 99:  30%|██▉       | 8/27 [00:00<00:01, 10.63it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.30]

Epoch 99:  33%|███▎      | 9/27 [00:00<00:01, 11.22it/s, v_num=0, train_loss_step=59.30, train_loss_epoch=59.30]

Epoch 99:  33%|███▎      | 9/27 [00:00<00:01, 11.21it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.30]

Epoch 99:  37%|███▋      | 10/27 [00:00<00:01, 11.64it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.30]

Epoch 99:  37%|███▋      | 10/27 [00:00<00:01, 11.63it/s, v_num=0, train_loss_step=58.70, train_loss_epoch=59.30]

Epoch 99:  41%|████      | 11/27 [00:00<00:01, 12.00it/s, v_num=0, train_loss_step=58.70, train_loss_epoch=59.30]

Epoch 99:  41%|████      | 11/27 [00:00<00:01, 11.99it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.30]

Epoch 99:  44%|████▍     | 12/27 [00:00<00:01, 12.45it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.30]

Epoch 99:  44%|████▍     | 12/27 [00:00<00:01, 12.44it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:  48%|████▊     | 13/27 [00:01<00:01, 12.89it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:  48%|████▊     | 13/27 [00:01<00:01, 12.88it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.30]

Epoch 99:  52%|█████▏    | 14/27 [00:01<00:00, 13.31it/s, v_num=0, train_loss_step=59.90, train_loss_epoch=59.30]

Epoch 99:  52%|█████▏    | 14/27 [00:01<00:00, 13.30it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:  56%|█████▌    | 15/27 [00:01<00:00, 13.72it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:  56%|█████▌    | 15/27 [00:01<00:00, 13.71it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.30]

Epoch 99:  59%|█████▉    | 16/27 [00:01<00:00, 14.06it/s, v_num=0, train_loss_step=59.60, train_loss_epoch=59.30]

Epoch 99:  59%|█████▉    | 16/27 [00:01<00:00, 14.05it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.30]

Epoch 99:  63%|██████▎   | 17/27 [00:01<00:00, 14.29it/s, v_num=0, train_loss_step=58.90, train_loss_epoch=59.30]

Epoch 99:  63%|██████▎   | 17/27 [00:01<00:00, 14.28it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.30]

Epoch 99:  67%|██████▋   | 18/27 [00:01<00:00, 14.46it/s, v_num=0, train_loss_step=59.50, train_loss_epoch=59.30]

Epoch 99:  67%|██████▋   | 18/27 [00:01<00:00, 14.45it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.30]

Epoch 99:  70%|███████   | 19/27 [00:01<00:00, 14.65it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.30]

Epoch 99:  70%|███████   | 19/27 [00:01<00:00, 14.64it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:  74%|███████▍  | 20/27 [00:01<00:00, 14.80it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:  74%|███████▍  | 20/27 [00:01<00:00, 14.79it/s, v_num=0, train_loss_step=58.80, train_loss_epoch=59.30]

Epoch 99:  78%|███████▊  | 21/27 [00:01<00:00, 14.93it/s, v_num=0, train_loss_step=58.80, train_loss_epoch=59.30]

Epoch 99:  78%|███████▊  | 21/27 [00:01<00:00, 14.92it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.30]

Epoch 99:  81%|████████▏ | 22/27 [00:01<00:00, 15.07it/s, v_num=0, train_loss_step=59.00, train_loss_epoch=59.30]

Epoch 99:  81%|████████▏ | 22/27 [00:01<00:00, 15.06it/s, v_num=0, train_loss_step=58.50, train_loss_epoch=59.30]

Epoch 99:  85%|████████▌ | 23/27 [00:01<00:00, 15.17it/s, v_num=0, train_loss_step=58.50, train_loss_epoch=59.30]

Epoch 99:  85%|████████▌ | 23/27 [00:01<00:00, 15.16it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.30]

Epoch 99:  89%|████████▉ | 24/27 [00:01<00:00, 15.27it/s, v_num=0, train_loss_step=59.40, train_loss_epoch=59.30]

Epoch 99:  89%|████████▉ | 24/27 [00:01<00:00, 15.26it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.30]

Epoch 99:  93%|█████████▎| 25/27 [00:01<00:00, 15.37it/s, v_num=0, train_loss_step=59.10, train_loss_epoch=59.30]

Epoch 99:  93%|█████████▎| 25/27 [00:01<00:00, 15.36it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:  96%|█████████▋| 26/27 [00:01<00:00, 15.47it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99:  96%|█████████▋| 26/27 [00:01<00:00, 15.46it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99: 100%|██████████| 27/27 [00:01<00:00, 15.69it/s, v_num=0, train_loss_step=59.20, train_loss_epoch=59.30]

Epoch 99: 100%|██████████| 27/27 [00:01<00:00, 15.68it/s, v_num=0, train_loss_step=58.60, train_loss_epoch=59.30]

Epoch 99: 100%|██████████| 27/27 [00:01<00:00, 15.65it/s, v_num=0, train_loss_step=58.60, train_loss_epoch=59.20]

`Trainer.fit` stopped: `max_epochs=100` reached.

Epoch 99: 100%|██████████| 27/27 [00:01<00:00, 15.59it/s, v_num=0, train_loss_step=58.60, train_loss_epoch=59.20]

Appending STARLING results to the annData object

## retrive starling results
result = st.result()

The following information can be retrived from the annData object:

• st.adata.varm[‘init_exp_centroids’] – initial expression cluster centroids (P x C matrix)

• st.adata.varm[‘st_exp_centroids’] – ST expression cluster centroids (P x C matrix)

• st.adata.uns[‘init_cell_size_centroids’] – initial cell size centroids if STARLING models cell size

• st.adata.uns[‘st_cell_size_centroids’] – initial & ST cell size centroids if ST models cell size

• st.adata.obsm[‘assignment_prob_matrix’] – cell assignment probability (N x C maxtrix)

• st.adata.obsm[‘gamma_prob_matrix’] – gamma probabilitiy of two cells (N x C x C maxtrix)

• st.adata.obs[‘doublet’] – doublet indicator

• st.adata.obs[‘doublet_prob’] – doublet probabilities

• st.adata.obs[‘init_label’] – initial assignments

• st.adata.obs[‘st_label’] – ST assignments

• st.adata.obs[‘max_assign_prob’] – ST max probabilites of assignments

N: # of cells; C: # of clusters; P: # of proteins

Saving the model

## st object can be saved
torch.save(st, "model.pt")

model.pt will be saved in the same directory as this notebook.

Showing STARLING results

display(result)

AnnData object with n_obs × n_vars = 13685 × 24
    obs: 'sample', 'id', 'x', 'y', 'area', 'area_convex', 'neighbor', 'init_label', 'st_label', 'doublet_prob', 'doublet', 'max_assign_prob'
    uns: 'init_cell_size_centroids', 'init_cell_size_variances', 'st_cell_size_centroids'
    obsm: 'assignment_prob_matrix', 'gamma_assignment_prob_matrix'
    varm: 'init_exp_centroids', 'init_exp_variances', 'st_exp_centroids'

One could easily perform further analysis such as co-occurance, enrichment analysis and etc.

result.obs

	sample	id	x	y	area	area_convex	neighbor	init_label	st_label	doublet_prob	doublet	max_assign_prob
4_1	4	1	0.785714	7.785714	14	14	0	4	7	0.068695	0	0.931299
4_2	4	2	0.823529	22.294117	17	17	0	8	1	0.265036	0	0.455906
4_3	4	3	0.875000	79.500000	16	16	1	5	2	0.018245	0	0.981755
4_4	4	4	0.666667	270.500000	12	12	0	0	7	0.074352	0	0.925553
4_5	4	5	0.823529	279.294130	17	17	1	6	7	0.099417	0	0.852817
...	...	...	...	...	...	...	...	...	...	...	...	...
4_13681	4	13681	997.769200	754.500000	26	26	0	6	6	0.059486	0	0.940513
4_13682	4	13682	998.153900	127.615390	13	13	0	0	6	0.077304	0	0.922694
4_13683	4	13683	998.153900	160.000000	13	13	1	1	7	0.079219	0	0.919557
4_13684	4	13684	997.580600	242.580640	31	33	1	6	6	0.064449	0	0.935550
4_13685	4	13685	997.947400	531.315800	19	19	1	8	2	0.656597	1	0.181692

13685 rows × 12 columns

Starling provides doublet probabilities and cell assignment if it were a singlet for each cell.

Showing initial expression centroids:

## initial expression centroids (p x c) matrix
pd.DataFrame(result.varm["init_exp_centroids"], index=result.var_names)

	0	1	2	3	4	5	6	7	8	9
SMA	0.481424	1.309391	2.126096	0.579704	1.034955	2.213308	0.709806	1.934577	1.527963	0.709294
ECadherin	5.337156	0.895151	0.917277	0.957158	1.015015	0.994053	2.059106	0.894870	0.895395	0.903859
Cytokeratin	67.964333	8.256811	7.940269	12.393282	9.756525	7.235658	21.381474	8.161932	8.062717	10.285240
HLADR	9.514906	25.786488	19.902128	100.617981	22.652782	16.925838	31.314178	24.423937	27.201944	107.715370
Vimentin	26.117844	288.943756	613.416504	59.960007	207.838806	854.635132	118.783127	474.137756	373.660522	195.967804
CD28	0.274576	0.364751	0.187042	0.429406	0.396811	0.125420	0.374010	0.261919	0.323060	0.400113
CD15	11.647052	3.405209	12.111905	1.718816	5.436855	8.430137	23.184679	5.207156	2.906085	1.072730
CD45RA	2.809307	9.079441	5.926950	19.871090	9.039453	4.521349	10.214595	7.081024	8.205299	25.244133
CD66b	0.711640	0.398465	0.927381	0.232724	0.447859	0.943825	1.139344	0.591593	0.432269	0.286939
CD20	4.245859	9.033876	6.129276	68.748070	8.606108	4.270151	16.159504	6.945663	8.628427	50.045914
CD68	1.520188	2.675121	3.168860	1.195633	2.611720	3.739015	2.166785	3.080333	2.804429	1.683086
CD4	1.503493	3.443730	2.322971	2.202792	3.510502	1.845925	2.805830	2.964161	3.343019	2.601053
CD8	1.047830	3.696644	2.765355	1.137288	3.398115	2.219563	2.147879	3.305972	3.467887	1.574964
CD11c	12.348639	1.755015	1.466261	2.330095	1.869891	1.212658	3.400696	1.614732	1.881085	2.608520
CD45RO	11.859526	20.940783	15.421111	21.700233	21.267746	11.500839	21.159555	18.171213	19.908953	20.201859
CD3	3.070851	11.586218	7.243083	6.067875	12.042318	5.637224	9.046865	9.475895	10.564202	6.656618
IFNg	3.571129	4.709364	4.536445	7.107009	4.643734	4.265472	5.047030	4.585475	4.688526	6.148673
TCF1	1.631392	3.359414	2.354661	2.221291	3.454601	1.884075	2.551759	2.669046	3.032099	1.855872
CD14	10.161412	9.815045	13.966036	8.697795	8.996326	17.640905	8.365283	12.136675	10.735605	7.937957
CD56	16.506500	11.700535	11.352810	10.901130	11.131174	11.812689	12.493258	11.210051	11.547063	11.038932
PD1	0.434042	0.619668	0.481901	2.319587	0.664347	0.454473	0.931258	0.547788	0.580809	0.978516
CD45	5.327374	7.063404	5.613504	9.247841	7.094889	4.831619	7.457783	6.266557	6.749027	9.342718
PNAd	0.588163	0.777306	3.884973	0.568925	0.691486	8.062602	0.617172	1.747507	0.993090	0.602114
CD31	2.550907	2.585680	4.236415	2.111810	2.429779	5.782395	2.294437	3.171049	2.729081	2.236869

There are 10 centroids since we set Kmeans (KM) as k = 10 earlier.

Showing Starling expression centroids:

## starling expression centroids (p x c) matrix
pd.DataFrame(result.varm["st_exp_centroids"], index=result.var_names)

	0	1	2	3	4	5	6	7	8	9
SMA	0.326149	0.712487	2.289808	0.648445	1.437518	2.698419	0.500520	0.667774	2.347506	0.831485
ECadherin	5.522269	0.893305	0.967771	0.702459	1.416451	1.128501	4.662329	0.654968	0.788167	0.957973
Cytokeratin	109.540970	6.996320	7.713224	8.725117	9.962199	8.033975	49.659336	6.500077	7.363038	8.508380
HLADR	4.203128	16.778221	11.952487	64.991058	25.203926	14.187275	12.846565	13.579691	20.612133	46.192318
Vimentin	19.650246	334.946747	567.298218	178.532227	312.820282	675.612854	52.012482	298.594849	362.261169	383.508331
CD28	0.215895	0.340183	0.028124	0.444699	0.363144	0.095138	0.257389	0.109893	0.248940	0.991879
CD15	8.032537	0.880829	19.500292	0.349458	9.159810	12.177807	17.571033	0.976251	2.238993	0.560232
CD45RA	0.999976	6.828949	1.569544	16.215149	10.408447	3.298193	2.739263	4.872447	6.245378	9.806379
CD66b	0.230382	0.324593	0.618502	0.226764	0.615164	0.980740	0.417512	0.260921	0.341933	0.367371
CD20	1.486348	3.349385	1.546080	36.555031	8.142476	3.129489	3.294805	3.762766	6.254663	17.027393
CD68	1.265654	2.579639	2.233377	1.160014	4.124225	3.066003	1.529294	1.826002	2.390011	2.946587
CD4	0.829301	3.919158	1.020084	3.061485	4.010312	1.392020	1.530646	1.202398	2.667474	9.577386
CD8	0.760662	2.202167	0.953584	1.024201	3.438297	1.660465	0.894010	1.424428	3.682818	3.816610
CD11c	38.490780	1.214517	0.861894	1.279740	2.765770	1.068517	3.384928	0.599926	1.440130	4.252817
CD45RO	5.662927	19.896212	10.408892	23.330448	22.963652	11.552439	13.395850	10.725427	16.818832	52.992367
CD3	1.029394	12.774698	2.732517	10.164256	12.496565	4.149741	2.470531	4.369892	9.901228	28.153952
IFNg	2.616136	4.679462	4.040050	6.079407	5.782554	4.255188	4.138873	3.631845	4.151928	5.710651
TCF1	1.178828	3.601133	1.763644	2.249244	4.625787	1.793723	1.544636	1.386434	2.501221	4.460977
CD14	12.073559	10.258192	14.365486	7.881556	12.897614	16.389854	9.120934	9.032832	11.159108	13.364237
CD56	17.281614	12.444629	10.600254	10.301925	17.615723	11.773481	16.092583	7.580403	10.653123	15.454824
PD1	0.239071	0.472216	0.344609	0.834453	0.628541	0.369281	0.357065	0.248035	0.437940	1.443433
CD45	4.301736	7.209701	3.800677	9.083428	9.755976	4.291219	6.160279	4.318199	5.713690	12.339667
PNAd	0.482502	0.631857	6.802321	0.577668	0.829989	9.748158	0.588081	0.551481	1.261166	0.795982
CD31	2.545696	2.483620	6.613409	2.121925	3.614682	7.635914	2.593932	1.846803	2.874804	2.699291

From here one could easily annotate cluster centroids to cell type.

Showing Assignment Distributions:

## assignment distributions (n x c maxtrix)
pd.DataFrame(result.obsm["assignment_prob_matrix"], index=result.obs.index)

	0	1	2	3	4	5	6	7	8	9
4_1	1.113842e-10	5.264305e-06	2.516993e-08	9.541111e-09	2.082854e-17	1.410743e-18	9.617873e-09	9.312993e-01	1.275358e-15	4.946754e-20
4_2	1.285886e-12	4.559055e-01	3.993742e-05	8.624994e-03	7.428317e-13	1.459371e-15	7.325272e-07	2.703929e-01	1.467073e-10	8.924060e-13
4_3	8.933607e-19	1.680498e-13	9.817547e-01	6.277764e-18	3.019498e-19	1.835780e-12	1.671267e-13	4.093650e-10	3.552633e-17	5.236527e-22
4_4	6.753762e-09	3.635964e-06	5.880480e-07	8.839920e-07	6.167230e-18	6.442992e-16	8.980285e-05	9.255532e-01	8.516404e-15	8.427746e-18
4_5	4.819457e-09	4.775037e-02	2.864511e-08	1.546904e-05	2.115597e-11	6.512662e-14	2.986712e-08	8.528175e-01	4.656304e-09	9.990038e-14
...	...	...	...	...	...	...	...	...	...	...
4_13681	1.317995e-07	6.868543e-12	1.236443e-08	2.839155e-15	3.863005e-13	8.793653e-16	9.405134e-01	1.908043e-10	3.212955e-16	4.997470e-20
4_13682	2.015847e-06	9.250373e-12	8.059208e-15	1.616750e-13	1.055596e-18	4.173676e-22	9.226940e-01	1.019546e-11	3.841474e-19	1.762315e-20
4_13683	1.464701e-11	2.885067e-05	1.192326e-03	1.018563e-06	1.798479e-19	5.618989e-16	1.272414e-06	9.195570e-01	2.865231e-15	2.730215e-19
4_13684	8.244870e-07	4.049103e-12	1.211759e-10	1.891460e-12	3.931061e-16	9.496174e-18	9.355499e-01	7.185576e-10	8.250398e-18	3.494599e-21
4_13685	2.037810e-07	1.197196e-01	1.816918e-01	9.308052e-04	9.209383e-10	6.355138e-12	9.196199e-03	3.186388e-02	1.991534e-10	7.267922e-11

13685 rows × 10 columns

Currently, we assign a cell label based on the maximum probability among all possible clusters. However, these could be mislabeled because maximum and second highest probabilies can be very close.