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wandb: Tracking run with wandb version 0.16.6
wandb: Run data is saved locally in /home/palashdas/jyotin/CIFAR/wandb/run-20240417_052212-7kbdmji5
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wandb: Syncing run blooming-waterfall-9
wandb: ⭐️ View project at https://wandb.ai/gjyotin305/CIFAR
wandb: 🚀 View run at https://wandb.ai/gjyotin305/CIFAR/runs/7kbdmji5
Files already downloaded and verified
Files already downloaded and verified
/home/palashdas/jyotin/env_ml_dl/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
  warnings.warn(
/home/palashdas/jyotin/env_ml_dl/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.
  warnings.warn(msg)
torch.Size([64, 3, 224, 224])
Training Epoch: 0

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100%|██████████| 157/157 [00:25<00:00,  6.18it/s]
--> Epoch Number : 1  | Training Loss : 0.7489  | Validation Loss : 1.2156  | Validation Accuracy : 72.34%
Training Epoch: 1

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100%|██████████| 782/782 [02:07<00:00,  6.62it/s]
100%|██████████| 782/782 [02:07<00:00,  6.14it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:09,  2.26it/s]
  1%|▏         | 2/157 [00:00<00:54,  2.86it/s]
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--> Epoch Number : 2  | Training Loss : 0.53  | Validation Loss : 0.4586  | Validation Accuracy : 85.28%
Training Epoch: 2

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--> Epoch Number : 3  | Training Loss : 0.5257  | Validation Loss : 0.4451  | Validation Accuracy : 85.53%
Training Epoch: 3

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100%|██████████| 157/157 [00:25<00:00,  6.25it/s]
--> Epoch Number : 4  | Training Loss : 0.5302  | Validation Loss : 0.4668  | Validation Accuracy : 85.19%
Training Epoch: 4

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100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

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--> Epoch Number : 5  | Training Loss : 0.5322  | Validation Loss : 0.4577  | Validation Accuracy : 85.51%
Training Epoch: 5

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--> Epoch Number : 6  | Training Loss : 0.5298  | Validation Loss : 0.4643  | Validation Accuracy : 85.26%
Training Epoch: 6

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 83%|████████▎ | 650/782 [01:45<00:21,  6.16it/s]
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 89%|████████▉ | 695/782 [01:53<00:13,  6.23it/s]
 89%|████████▉ | 696/782 [01:53<00:13,  6.22it/s]
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 90%|████████▉ | 700/782 [01:53<00:13,  6.13it/s]
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 90%|████████▉ | 703/782 [01:54<00:12,  6.16it/s]
 90%|█████████ | 704/782 [01:54<00:12,  6.17it/s]
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 90%|█████████ | 706/782 [01:54<00:12,  6.16it/s]
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 91%|█████████ | 708/782 [01:55<00:12,  6.17it/s]
 91%|█████████ | 709/782 [01:55<00:11,  6.17it/s]
 91%|█████████ | 710/782 [01:55<00:11,  6.17it/s]
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 91%|█████████ | 713/782 [01:56<00:11,  6.16it/s]
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 97%|█████████▋| 759/782 [02:03<00:03,  6.15it/s]
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 98%|█████████▊| 763/782 [02:04<00:03,  6.14it/s]
 98%|█████████▊| 764/782 [02:04<00:02,  6.16it/s]
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 98%|█████████▊| 768/782 [02:05<00:02,  6.18it/s]
 98%|█████████▊| 769/782 [02:05<00:02,  6.20it/s]
 98%|█████████▊| 770/782 [02:05<00:01,  6.22it/s]
 99%|█████████▊| 771/782 [02:05<00:01,  6.24it/s]
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100%|█████████▉| 779/782 [02:06<00:00,  6.25it/s]
100%|█████████▉| 780/782 [02:06<00:00,  6.25it/s]
100%|█████████▉| 781/782 [02:07<00:00,  6.25it/s]
100%|██████████| 782/782 [02:07<00:00,  6.44it/s]
100%|██████████| 782/782 [02:07<00:00,  6.14it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:01,  2.52it/s]
  1%|▏         | 2/157 [00:00<00:51,  3.03it/s]
  2%|▏         | 3/157 [00:00<00:38,  3.97it/s]
  3%|▎         | 4/157 [00:00<00:32,  4.65it/s]
  3%|▎         | 5/157 [00:01<00:29,  5.18it/s]
  4%|▍         | 6/157 [00:01<00:27,  5.46it/s]
  4%|▍         | 7/157 [00:01<00:26,  5.61it/s]
  5%|▌         | 8/157 [00:01<00:25,  5.84it/s]
  6%|▌         | 9/157 [00:01<00:24,  5.96it/s]
  6%|▋         | 10/157 [00:01<00:23,  6.14it/s]
  7%|▋         | 11/157 [00:02<00:23,  6.17it/s]
  8%|▊         | 12/157 [00:02<00:23,  6.10it/s]
  8%|▊         | 13/157 [00:02<00:23,  6.10it/s]
  9%|▉         | 14/157 [00:02<00:22,  6.23it/s]
 10%|▉         | 15/157 [00:02<00:22,  6.34it/s]
 10%|█         | 16/157 [00:02<00:22,  6.36it/s]
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--> Epoch Number : 7  | Training Loss : 0.5301  | Validation Loss : 0.4461  | Validation Accuracy : 85.9%
Training Epoch: 7

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

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100%|██████████| 157/157 [00:26<00:00,  5.95it/s]
--> Epoch Number : 8  | Training Loss : 0.5259  | Validation Loss : 0.429  | Validation Accuracy : 86.0%
Training Epoch: 8

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--> Epoch Number : 9  | Training Loss : 0.5261  | Validation Loss : 0.4436  | Validation Accuracy : 85.89%
Training Epoch: 9

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100%|█████████▉| 780/782 [02:06<00:00,  6.24it/s]
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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:05,  2.39it/s]
  1%|▏         | 2/157 [00:00<00:53,  2.89it/s]
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--> Epoch Number : 10  | Training Loss : 0.5338  | Validation Loss : 0.4285  | Validation Accuracy : 86.06%
Training Epoch: 10

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100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

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  1%|          | 1/157 [00:00<01:07,  2.30it/s]
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100%|██████████| 157/157 [00:25<00:00,  6.25it/s]
--> Epoch Number : 11  | Training Loss : 0.5273  | Validation Loss : 0.4334  | Validation Accuracy : 85.98%
Training Epoch: 11

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--> Epoch Number : 12  | Training Loss : 0.5312  | Validation Loss : 0.448  | Validation Accuracy : 85.61%
Training Epoch: 12

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100%|██████████| 782/782 [02:06<00:00,  6.19it/s]
Validation Loop

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  1%|          | 1/157 [00:00<01:02,  2.51it/s]
  1%|▏         | 2/157 [00:00<00:54,  2.87it/s]
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--> Epoch Number : 13  | Training Loss : 0.5292  | Validation Loss : 0.4408  | Validation Accuracy : 86.07%
Training Epoch: 13

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100%|██████████| 782/782 [02:06<00:00,  6.14it/s]
100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:05,  2.38it/s]
  1%|▏         | 2/157 [00:00<00:50,  3.08it/s]
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100%|██████████| 157/157 [00:26<00:00,  6.03it/s]
--> Epoch Number : 14  | Training Loss : 0.5234  | Validation Loss : 0.4333  | Validation Accuracy : 85.99%
Training Epoch: 14

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100%|██████████| 157/157 [00:25<00:00,  6.20it/s]
--> Epoch Number : 15  | Training Loss : 0.5272  | Validation Loss : 0.4526  | Validation Accuracy : 85.27%
Training Epoch: 15

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100%|██████████| 782/782 [02:06<00:00,  6.16it/s]
Validation Loop

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100%|██████████| 157/157 [00:25<00:00,  6.19it/s]
--> Epoch Number : 16  | Training Loss : 0.5321  | Validation Loss : 0.4285  | Validation Accuracy : 86.42%
Training Epoch: 16

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--> Epoch Number : 17  | Training Loss : 0.5316  | Validation Loss : 0.4298  | Validation Accuracy : 86.07%
Training Epoch: 17

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 70%|███████   | 548/782 [01:30<00:38,  6.03it/s]
 70%|███████   | 549/782 [01:30<00:38,  6.05it/s]
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 71%|███████▏  | 558/782 [01:31<00:36,  6.11it/s]
 71%|███████▏  | 559/782 [01:32<00:36,  6.05it/s]
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 73%|███████▎  | 569/782 [01:33<00:34,  6.11it/s]
 73%|███████▎  | 570/782 [01:33<00:34,  6.12it/s]
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 77%|███████▋  | 599/782 [01:38<00:29,  6.11it/s]
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 77%|███████▋  | 601/782 [01:38<00:29,  6.15it/s]
 77%|███████▋  | 602/782 [01:39<00:29,  6.17it/s]
 77%|███████▋  | 603/782 [01:39<00:29,  6.16it/s]
 77%|███████▋  | 604/782 [01:39<00:28,  6.15it/s]
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 77%|███████▋  | 606/782 [01:39<00:28,  6.15it/s]
 78%|███████▊  | 607/782 [01:39<00:28,  6.14it/s]
 78%|███████▊  | 608/782 [01:40<00:28,  6.13it/s]
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 78%|███████▊  | 612/782 [01:40<00:27,  6.11it/s]
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 79%|███████▉  | 618/782 [01:41<00:27,  6.07it/s]
 79%|███████▉  | 619/782 [01:41<00:26,  6.10it/s]
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 80%|███████▉  | 622/782 [01:42<00:26,  6.13it/s]
 80%|███████▉  | 623/782 [01:42<00:25,  6.12it/s]
 80%|███████▉  | 624/782 [01:42<00:25,  6.11it/s]
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 82%|████████▏ | 640/782 [01:45<00:23,  6.12it/s]
 82%|████████▏ | 641/782 [01:45<00:23,  6.13it/s]
 82%|████████▏ | 642/782 [01:45<00:22,  6.14it/s]
 82%|████████▏ | 643/782 [01:45<00:22,  6.13it/s]
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 82%|████████▏ | 645/782 [01:46<00:22,  6.13it/s]
 83%|████████▎ | 646/782 [01:46<00:22,  6.13it/s]
 83%|████████▎ | 647/782 [01:46<00:22,  6.08it/s]
 83%|████████▎ | 648/782 [01:46<00:22,  6.09it/s]
 83%|████████▎ | 649/782 [01:46<00:21,  6.07it/s]
 83%|████████▎ | 650/782 [01:46<00:21,  6.09it/s]
 83%|████████▎ | 651/782 [01:47<00:21,  6.12it/s]
 83%|████████▎ | 652/782 [01:47<00:21,  6.13it/s]
 84%|████████▎ | 653/782 [01:47<00:21,  6.14it/s]
 84%|████████▎ | 654/782 [01:47<00:20,  6.14it/s]
 84%|████████▍ | 655/782 [01:47<00:20,  6.17it/s]
 84%|████████▍ | 656/782 [01:47<00:20,  6.17it/s]
 84%|████████▍ | 657/782 [01:48<00:20,  6.19it/s]
 84%|████████▍ | 658/782 [01:48<00:20,  6.19it/s]
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 84%|████████▍ | 660/782 [01:48<00:19,  6.19it/s]
 85%|████████▍ | 661/782 [01:48<00:19,  6.17it/s]
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 85%|████████▌ | 665/782 [01:49<00:18,  6.17it/s]
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 88%|████████▊ | 691/782 [01:53<00:14,  6.10it/s]
 88%|████████▊ | 692/782 [01:53<00:14,  6.11it/s]
 89%|████████▊ | 693/782 [01:53<00:14,  6.11it/s]
 89%|████████▊ | 694/782 [01:54<00:14,  6.11it/s]
 89%|████████▉ | 695/782 [01:54<00:14,  6.11it/s]
 89%|████████▉ | 696/782 [01:54<00:14,  6.10it/s]
 89%|████████▉ | 697/782 [01:54<00:13,  6.11it/s]
 89%|████████▉ | 698/782 [01:54<00:13,  6.11it/s]
 89%|████████▉ | 699/782 [01:54<00:13,  6.11it/s]
 90%|████████▉ | 700/782 [01:55<00:13,  6.10it/s]
 90%|████████▉ | 701/782 [01:55<00:13,  6.11it/s]
 90%|████████▉ | 702/782 [01:55<00:13,  6.12it/s]
 90%|████████▉ | 703/782 [01:55<00:12,  6.12it/s]
 90%|█████████ | 704/782 [01:55<00:12,  6.11it/s]
 90%|█████████ | 705/782 [01:55<00:12,  6.10it/s]
 90%|█████████ | 706/782 [01:56<00:12,  6.11it/s]
 90%|█████████ | 707/782 [01:56<00:12,  6.03it/s]
 91%|█████████ | 708/782 [01:56<00:12,  6.05it/s]
 91%|█████████ | 709/782 [01:56<00:12,  6.07it/s]
 91%|█████████ | 710/782 [01:56<00:11,  6.08it/s]
 91%|█████████ | 711/782 [01:56<00:11,  6.07it/s]
 91%|█████████ | 712/782 [01:57<00:11,  6.08it/s]
 91%|█████████ | 713/782 [01:57<00:11,  6.08it/s]
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 95%|█████████▍| 739/782 [02:01<00:06,  6.16it/s]
 95%|█████████▍| 740/782 [02:01<00:06,  6.11it/s]
 95%|█████████▍| 741/782 [02:01<00:06,  6.13it/s]
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 95%|█████████▌| 743/782 [02:02<00:06,  6.14it/s]
 95%|█████████▌| 744/782 [02:02<00:06,  6.15it/s]
 95%|█████████▌| 745/782 [02:02<00:06,  6.16it/s]
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 96%|█████████▌| 748/782 [02:02<00:05,  6.16it/s]
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 96%|█████████▌| 751/782 [02:03<00:05,  6.16it/s]
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 96%|█████████▋| 753/782 [02:03<00:04,  6.17it/s]
 96%|█████████▋| 754/782 [02:03<00:04,  6.10it/s]
 97%|█████████▋| 755/782 [02:04<00:04,  6.00it/s]
 97%|█████████▋| 756/782 [02:04<00:04,  6.02it/s]
 97%|█████████▋| 757/782 [02:04<00:04,  6.04it/s]
 97%|█████████▋| 758/782 [02:04<00:03,  6.06it/s]
 97%|█████████▋| 759/782 [02:04<00:03,  6.07it/s]
 97%|█████████▋| 760/782 [02:04<00:03,  6.07it/s]
 97%|█████████▋| 761/782 [02:05<00:03,  6.09it/s]
 97%|█████████▋| 762/782 [02:05<00:03,  6.09it/s]
 98%|█████████▊| 763/782 [02:05<00:03,  6.09it/s]
 98%|█████████▊| 764/782 [02:05<00:02,  6.10it/s]
 98%|█████████▊| 765/782 [02:05<00:02,  6.03it/s]
 98%|█████████▊| 766/782 [02:05<00:02,  5.97it/s]
 98%|█████████▊| 767/782 [02:06<00:02,  5.98it/s]
 98%|█████████▊| 768/782 [02:06<00:02,  6.05it/s]
 98%|█████████▊| 769/782 [02:06<00:02,  6.09it/s]
 98%|█████████▊| 770/782 [02:06<00:01,  6.09it/s]
 99%|█████████▊| 771/782 [02:06<00:01,  6.12it/s]
 99%|█████████▊| 772/782 [02:06<00:01,  6.14it/s]
 99%|█████████▉| 773/782 [02:07<00:01,  6.16it/s]
 99%|█████████▉| 774/782 [02:07<00:01,  6.17it/s]
 99%|█████████▉| 775/782 [02:07<00:01,  6.18it/s]
 99%|█████████▉| 776/782 [02:07<00:00,  6.19it/s]
 99%|█████████▉| 777/782 [02:07<00:00,  6.19it/s]
 99%|█████████▉| 778/782 [02:07<00:00,  6.19it/s]
100%|█████████▉| 779/782 [02:08<00:00,  6.19it/s]
100%|█████████▉| 780/782 [02:08<00:00,  6.13it/s]
100%|█████████▉| 781/782 [02:08<00:00,  6.15it/s]
100%|██████████| 782/782 [02:08<00:00,  6.08it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:06,  2.36it/s]
  1%|▏         | 2/157 [00:00<00:55,  2.82it/s]
  2%|▏         | 3/157 [00:00<00:41,  3.73it/s]
  3%|▎         | 4/157 [00:01<00:34,  4.38it/s]
  3%|▎         | 5/157 [00:01<00:31,  4.84it/s]
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--> Epoch Number : 18  | Training Loss : 0.5307  | Validation Loss : 0.4377  | Validation Accuracy : 86.01%
Training Epoch: 18

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100%|██████████| 782/782 [02:07<00:00,  6.14it/s]
Validation Loop

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100%|██████████| 157/157 [00:25<00:00,  6.27it/s]
--> Epoch Number : 19  | Training Loss : 0.5305  | Validation Loss : 0.4483  | Validation Accuracy : 85.46%
Training Epoch: 19

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--> Epoch Number : 20  | Training Loss : 0.5278  | Validation Loss : 0.4404  | Validation Accuracy : 85.71%
Training Epoch: 20

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 84%|████████▎ | 653/782 [01:46<00:20,  6.15it/s]
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 84%|████████▍ | 658/782 [01:46<00:20,  6.16it/s]
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 88%|████████▊ | 685/782 [01:51<00:15,  6.21it/s]
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 89%|████████▉ | 695/782 [01:52<00:14,  6.12it/s]
 89%|████████▉ | 696/782 [01:53<00:14,  6.12it/s]
 89%|████████▉ | 697/782 [01:53<00:13,  6.13it/s]
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 90%|████████▉ | 700/782 [01:53<00:13,  6.15it/s]
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 91%|█████████ | 709/782 [01:55<00:11,  6.14it/s]
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 98%|█████████▊| 768/782 [02:04<00:02,  6.20it/s]
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 99%|█████████▉| 778/782 [02:06<00:00,  6.24it/s]
100%|█████████▉| 779/782 [02:06<00:00,  6.24it/s]
100%|█████████▉| 780/782 [02:06<00:00,  6.23it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.24it/s]
100%|██████████| 782/782 [02:06<00:00,  6.53it/s]
100%|██████████| 782/782 [02:06<00:00,  6.16it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:05,  2.40it/s]
  1%|▏         | 2/157 [00:00<00:49,  3.14it/s]
  2%|▏         | 3/157 [00:00<00:37,  4.08it/s]
  3%|▎         | 4/157 [00:01<00:33,  4.52it/s]
  3%|▎         | 5/157 [00:01<00:29,  5.14it/s]
  4%|▍         | 6/157 [00:01<00:27,  5.59it/s]
  4%|▍         | 7/157 [00:01<00:25,  5.88it/s]
  5%|▌         | 8/157 [00:01<00:24,  6.13it/s]
  6%|▌         | 9/157 [00:01<00:24,  6.08it/s]
  6%|▋         | 10/157 [00:01<00:23,  6.18it/s]
  7%|▋         | 11/157 [00:02<00:23,  6.30it/s]
  8%|▊         | 12/157 [00:02<00:22,  6.43it/s]
  8%|▊         | 13/157 [00:02<00:22,  6.53it/s]
  9%|▉         | 14/157 [00:02<00:21,  6.54it/s]
 10%|▉         | 15/157 [00:02<00:22,  6.35it/s]
 10%|█         | 16/157 [00:02<00:21,  6.47it/s]
 11%|█         | 17/157 [00:03<00:21,  6.40it/s]
 11%|█▏        | 18/157 [00:03<00:21,  6.46it/s]
 12%|█▏        | 19/157 [00:03<00:21,  6.49it/s]
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 15%|█▍        | 23/157 [00:03<00:20,  6.48it/s]
 15%|█▌        | 24/157 [00:04<00:21,  6.25it/s]
 16%|█▌        | 25/157 [00:04<00:20,  6.46it/s]
 17%|█▋        | 26/157 [00:04<00:19,  6.55it/s]
 17%|█▋        | 27/157 [00:04<00:19,  6.50it/s]
 18%|█▊        | 28/157 [00:04<00:19,  6.46it/s]
 18%|█▊        | 29/157 [00:04<00:19,  6.51it/s]
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--> Epoch Number : 21  | Training Loss : 0.5294  | Validation Loss : 0.4206  | Validation Accuracy : 86.53%
Training Epoch: 21

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100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
Validation Loop

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100%|██████████| 157/157 [00:25<00:00,  6.05it/s]
--> Epoch Number : 22  | Training Loss : 0.5279  | Validation Loss : 0.4492  | Validation Accuracy : 85.37%
Training Epoch: 22

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100%|██████████| 157/157 [00:26<00:00,  6.04it/s]
--> Epoch Number : 23  | Training Loss : 0.5293  | Validation Loss : 0.4551  | Validation Accuracy : 85.41%
Training Epoch: 23

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100%|█████████▉| 780/782 [02:06<00:00,  6.23it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.24it/s]
100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:02,  2.50it/s]
  1%|▏         | 2/157 [00:00<00:52,  2.96it/s]
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  8%|▊         | 13/157 [00:02<00:23,  6.06it/s]
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--> Epoch Number : 24  | Training Loss : 0.5302  | Validation Loss : 0.4488  | Validation Accuracy : 85.64%
Training Epoch: 24

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100%|█████████▉| 780/782 [02:08<00:00,  6.18it/s]
100%|█████████▉| 781/782 [02:08<00:00,  6.17it/s]
100%|██████████| 782/782 [02:08<00:00,  6.50it/s]
100%|██████████| 782/782 [02:08<00:00,  6.07it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:05,  2.38it/s]
  1%|▏         | 2/157 [00:00<00:50,  3.06it/s]
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100%|██████████| 157/157 [00:25<00:00,  6.10it/s]
--> Epoch Number : 25  | Training Loss : 0.5269  | Validation Loss : 0.4411  | Validation Accuracy : 85.93%
Training Epoch: 25

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100%|██████████| 157/157 [00:25<00:00,  6.06it/s]
--> Epoch Number : 26  | Training Loss : 0.5332  | Validation Loss : 0.4294  | Validation Accuracy : 86.41%
Training Epoch: 26

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100%|██████████| 782/782 [02:07<00:00,  6.16it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:01,  2.53it/s]
  1%|▏         | 2/157 [00:00<00:51,  3.00it/s]
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--> Epoch Number : 27  | Training Loss : 0.5282  | Validation Loss : 0.4612  | Validation Accuracy : 85.26%
Training Epoch: 27

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--> Epoch Number : 28  | Training Loss : 0.5313  | Validation Loss : 0.4411  | Validation Accuracy : 85.91%
Training Epoch: 28

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 83%|████████▎ | 648/782 [01:46<00:21,  6.14it/s]
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 83%|████████▎ | 652/782 [01:47<00:21,  6.13it/s]
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 89%|████████▉ | 695/782 [01:54<00:14,  6.06it/s]
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 89%|████████▉ | 698/782 [01:55<00:13,  6.07it/s]
 89%|████████▉ | 699/782 [01:55<00:13,  6.08it/s]
 90%|████████▉ | 700/782 [01:55<00:13,  6.03it/s]
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 90%|█████████ | 704/782 [01:56<00:12,  6.07it/s]
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 91%|█████████ | 710/782 [01:57<00:11,  6.07it/s]
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 91%|█████████ | 712/782 [01:57<00:11,  5.99it/s]
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 95%|█████████▍| 741/782 [02:02<00:06,  6.11it/s]
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 96%|█████████▌| 751/782 [02:03<00:05,  6.14it/s]
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 98%|█████████▊| 763/782 [02:05<00:03,  6.00it/s]
 98%|█████████▊| 764/782 [02:05<00:02,  6.03it/s]
 98%|█████████▊| 765/782 [02:06<00:02,  6.05it/s]
 98%|█████████▊| 766/782 [02:06<00:02,  6.01it/s]
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 98%|█████████▊| 768/782 [02:06<00:02,  6.09it/s]
 98%|█████████▊| 769/782 [02:06<00:02,  6.11it/s]
 98%|█████████▊| 770/782 [02:06<00:01,  6.12it/s]
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 99%|█████████▉| 777/782 [02:08<00:00,  6.12it/s]
 99%|█████████▉| 778/782 [02:08<00:00,  6.13it/s]
100%|█████████▉| 779/782 [02:08<00:00,  6.13it/s]
100%|█████████▉| 780/782 [02:08<00:00,  6.11it/s]
100%|█████████▉| 781/782 [02:08<00:00,  6.08it/s]
100%|██████████| 782/782 [02:08<00:00,  6.07it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:05,  2.39it/s]
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--> Epoch Number : 29  | Training Loss : 0.5244  | Validation Loss : 0.4232  | Validation Accuracy : 86.49%
Training Epoch: 29

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

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100%|██████████| 157/157 [00:25<00:00,  6.23it/s]
--> Epoch Number : 30  | Training Loss : 0.5308  | Validation Loss : 0.439  | Validation Accuracy : 85.83%
Training Epoch: 30

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--> Epoch Number : 31  | Training Loss : 0.5308  | Validation Loss : 0.4486  | Validation Accuracy : 85.63%
Training Epoch: 31

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100%|█████████▉| 780/782 [02:07<00:00,  6.23it/s]
100%|█████████▉| 781/782 [02:07<00:00,  6.23it/s]
100%|██████████| 782/782 [02:07<00:00,  6.44it/s]
100%|██████████| 782/782 [02:08<00:00,  6.11it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:06,  2.36it/s]
  1%|▏         | 2/157 [00:00<00:51,  3.02it/s]
  2%|▏         | 3/157 [00:00<00:39,  3.90it/s]
  3%|▎         | 4/157 [00:01<00:33,  4.61it/s]
  3%|▎         | 5/157 [00:01<00:29,  5.17it/s]
  4%|▍         | 6/157 [00:01<00:27,  5.52it/s]
  4%|▍         | 7/157 [00:01<00:25,  5.80it/s]
  5%|▌         | 8/157 [00:01<00:25,  5.89it/s]
  6%|▌         | 9/157 [00:01<00:25,  5.90it/s]
  6%|▋         | 10/157 [00:01<00:25,  5.88it/s]
  7%|▋         | 11/157 [00:02<00:24,  5.94it/s]
  8%|▊         | 12/157 [00:02<00:24,  6.04it/s]
  8%|▊         | 13/157 [00:02<00:23,  6.14it/s]
  9%|▉         | 14/157 [00:02<00:22,  6.22it/s]
 10%|▉         | 15/157 [00:02<00:22,  6.28it/s]
 10%|█         | 16/157 [00:02<00:21,  6.42it/s]
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 15%|█▍        | 23/157 [00:04<00:21,  6.10it/s]
 15%|█▌        | 24/157 [00:04<00:22,  6.01it/s]
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--> Epoch Number : 32  | Training Loss : 0.5328  | Validation Loss : 0.4298  | Validation Accuracy : 86.06%
Training Epoch: 32

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100%|██████████| 782/782 [02:06<00:00,  6.16it/s]
Validation Loop

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100%|██████████| 157/157 [00:26<00:00,  5.90it/s]
--> Epoch Number : 33  | Training Loss : 0.532  | Validation Loss : 0.464  | Validation Accuracy : 85.29%
Training Epoch: 33

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--> Epoch Number : 34  | Training Loss : 0.5294  | Validation Loss : 0.4286  | Validation Accuracy : 86.42%
Training Epoch: 34

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100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:02,  2.51it/s]
  1%|▏         | 2/157 [00:00<00:54,  2.85it/s]
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--> Epoch Number : 35  | Training Loss : 0.5254  | Validation Loss : 0.4603  | Validation Accuracy : 85.42%
Training Epoch: 35

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:02,  2.48it/s]
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100%|██████████| 157/157 [00:26<00:00,  6.02it/s]
--> Epoch Number : 36  | Training Loss : 0.5304  | Validation Loss : 0.4394  | Validation Accuracy : 86.02%
Training Epoch: 36

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100%|██████████| 157/157 [00:26<00:00,  6.02it/s]
--> Epoch Number : 37  | Training Loss : 0.5309  | Validation Loss : 0.4361  | Validation Accuracy : 86.01%
Training Epoch: 37

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
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--> Epoch Number : 38  | Training Loss : 0.5266  | Validation Loss : 0.4358  | Validation Accuracy : 85.99%
Training Epoch: 38

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--> Epoch Number : 39  | Training Loss : 0.5261  | Validation Loss : 0.4302  | Validation Accuracy : 86.34%
Training Epoch: 39

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 83%|████████▎ | 648/782 [01:44<00:21,  6.11it/s]
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 89%|████████▊ | 694/782 [01:52<00:14,  6.17it/s]
 89%|████████▉ | 695/782 [01:52<00:14,  6.18it/s]
 89%|████████▉ | 696/782 [01:52<00:13,  6.18it/s]
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 89%|████████▉ | 698/782 [01:53<00:13,  6.21it/s]
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 91%|█████████ | 708/782 [01:54<00:11,  6.20it/s]
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 97%|█████████▋| 762/782 [02:03<00:03,  6.17it/s]
 98%|█████████▊| 763/782 [02:03<00:03,  6.19it/s]
 98%|█████████▊| 764/782 [02:03<00:02,  6.19it/s]
 98%|█████████▊| 765/782 [02:03<00:02,  6.18it/s]
 98%|█████████▊| 766/782 [02:04<00:02,  6.13it/s]
 98%|█████████▊| 767/782 [02:04<00:02,  6.17it/s]
 98%|█████████▊| 768/782 [02:04<00:02,  6.20it/s]
 98%|█████████▊| 769/782 [02:04<00:02,  6.23it/s]
 98%|█████████▊| 770/782 [02:04<00:01,  6.24it/s]
 99%|█████████▊| 771/782 [02:04<00:01,  6.25it/s]
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 99%|█████████▉| 777/782 [02:05<00:00,  6.26it/s]
 99%|█████████▉| 778/782 [02:05<00:00,  6.25it/s]
100%|█████████▉| 779/782 [02:06<00:00,  6.26it/s]
100%|█████████▉| 780/782 [02:06<00:00,  6.25it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.25it/s]
100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
Validation Loop

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--> Epoch Number : 40  | Training Loss : 0.525  | Validation Loss : 0.4256  | Validation Accuracy : 86.35%
Training Epoch: 40

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

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100%|██████████| 157/157 [00:25<00:00,  6.09it/s]
--> Epoch Number : 41  | Training Loss : 0.5282  | Validation Loss : 0.4253  | Validation Accuracy : 86.35%
Training Epoch: 41

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--> Epoch Number : 42  | Training Loss : 0.529  | Validation Loss : 0.4319  | Validation Accuracy : 86.04%
Training Epoch: 42

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:19,  1.96it/s]
  1%|▏         | 2/157 [00:00<00:56,  2.73it/s]
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--> Epoch Number : 43  | Training Loss : 0.5297  | Validation Loss : 0.4293  | Validation Accuracy : 86.45%
Training Epoch: 43

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100%|██████████| 782/782 [02:06<00:00,  6.16it/s]
Validation Loop

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100%|██████████| 157/157 [00:26<00:00,  6.01it/s]
--> Epoch Number : 44  | Training Loss : 0.5269  | Validation Loss : 0.4645  | Validation Accuracy : 85.11%
Training Epoch: 44

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--> Epoch Number : 45  | Training Loss : 0.5275  | Validation Loss : 0.449  | Validation Accuracy : 85.48%
Training Epoch: 45

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100%|█████████▉| 780/782 [02:06<00:00,  6.19it/s]
100%|█████████▉| 781/782 [02:07<00:00,  6.18it/s]
100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<00:59,  2.61it/s]
  1%|▏         | 2/157 [00:00<00:50,  3.07it/s]
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  6%|▋         | 10/157 [00:01<00:24,  6.07it/s]
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--> Epoch Number : 46  | Training Loss : 0.5288  | Validation Loss : 0.4299  | Validation Accuracy : 86.07%
Training Epoch: 46

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 90%|████████▉ | 700/782 [01:54<00:13,  6.17it/s]
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100%|█████████▉| 780/782 [02:07<00:00,  6.17it/s]
100%|█████████▉| 781/782 [02:07<00:00,  6.17it/s]
100%|██████████| 782/782 [02:07<00:00,  6.12it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:02,  2.49it/s]
  1%|▏         | 2/157 [00:00<00:52,  2.93it/s]
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  6%|▋         | 10/157 [00:01<00:23,  6.18it/s]
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  8%|▊         | 13/157 [00:02<00:22,  6.37it/s]
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100%|██████████| 157/157 [00:25<00:00,  6.11it/s]
--> Epoch Number : 47  | Training Loss : 0.5342  | Validation Loss : 0.4219  | Validation Accuracy : 86.59%
Training Epoch: 47

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--> Epoch Number : 48  | Training Loss : 0.53  | Validation Loss : 0.4444  | Validation Accuracy : 85.6%
Training Epoch: 48

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100%|█████████▉| 780/782 [02:06<00:00,  6.26it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.26it/s]
100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:03,  2.48it/s]
  1%|▏         | 2/157 [00:00<00:53,  2.88it/s]
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  6%|▋         | 10/157 [00:01<00:22,  6.56it/s]
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--> Epoch Number : 49  | Training Loss : 0.5359  | Validation Loss : 0.4486  | Validation Accuracy : 85.6%
Training Epoch: 49

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Validation Loop

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100%|██████████| 157/157 [00:26<00:00,  5.96it/s]
--> Epoch Number : 50  | Training Loss : 0.529  | Validation Loss : 0.4484  | Validation Accuracy : 85.85%
Training Epoch: 50

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--> Epoch Number : 51  | Training Loss : 0.5337  | Validation Loss : 0.4497  | Validation Accuracy : 85.52%
Training Epoch: 51

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100%|██████████| 782/782 [02:06<00:00,  6.16it/s]
Validation Loop

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--> Epoch Number : 52  | Training Loss : 0.5334  | Validation Loss : 0.4338  | Validation Accuracy : 86.04%
Training Epoch: 52

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--> Epoch Number : 53  | Training Loss : 0.5272  | Validation Loss : 0.45  | Validation Accuracy : 85.24%
Training Epoch: 53

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100%|█████████▉| 780/782 [02:06<00:00,  6.25it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.24it/s]
100%|██████████| 782/782 [02:07<00:00,  6.16it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:01,  2.52it/s]
  1%|▏         | 2/157 [00:00<00:53,  2.88it/s]
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  6%|▋         | 10/157 [00:02<00:24,  5.89it/s]
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  8%|▊         | 12/157 [00:02<00:24,  5.96it/s]
  8%|▊         | 13/157 [00:02<00:23,  6.13it/s]
  9%|▉         | 14/157 [00:02<00:23,  6.21it/s]
 10%|▉         | 15/157 [00:02<00:22,  6.37it/s]
 10%|█         | 16/157 [00:02<00:21,  6.43it/s]
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--> Epoch Number : 54  | Training Loss : 0.5297  | Validation Loss : 0.4358  | Validation Accuracy : 86.06%
Training Epoch: 54

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100%|██████████| 782/782 [02:08<00:00,  6.10it/s]
Validation Loop

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100%|██████████| 157/157 [00:25<00:00,  6.13it/s]
--> Epoch Number : 55  | Training Loss : 0.5327  | Validation Loss : 0.421  | Validation Accuracy : 86.24%
Training Epoch: 55

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100%|██████████| 157/157 [00:26<00:00,  6.02it/s]
--> Epoch Number : 56  | Training Loss : 0.5328  | Validation Loss : 0.4451  | Validation Accuracy : 85.66%
Training Epoch: 56

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 89%|████████▉ | 697/782 [01:52<00:13,  6.16it/s]
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100%|█████████▉| 780/782 [02:06<00:00,  6.20it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.20it/s]
100%|██████████| 782/782 [02:06<00:00,  6.24it/s]
100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:07,  2.32it/s]
  1%|▏         | 2/157 [00:00<00:52,  2.97it/s]
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  6%|▋         | 10/157 [00:01<00:24,  6.03it/s]
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--> Epoch Number : 57  | Training Loss : 0.5314  | Validation Loss : 0.4337  | Validation Accuracy : 85.99%
Training Epoch: 57

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100%|█████████▉| 780/782 [02:06<00:00,  6.20it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.20it/s]
100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:00,  2.56it/s]
  1%|▏         | 2/157 [00:00<00:52,  2.95it/s]
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  8%|▊         | 13/157 [00:02<00:24,  5.83it/s]
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100%|██████████| 157/157 [00:25<00:00,  6.10it/s]
--> Epoch Number : 58  | Training Loss : 0.5323  | Validation Loss : 0.4402  | Validation Accuracy : 85.91%
Training Epoch: 58

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--> Epoch Number : 59  | Training Loss : 0.533  | Validation Loss : 0.4321  | Validation Accuracy : 86.02%
Training Epoch: 59

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100%|█████████▉| 780/782 [02:08<00:00,  6.09it/s]
100%|█████████▉| 781/782 [02:08<00:00,  6.11it/s]
100%|██████████| 782/782 [02:08<00:00,  6.08it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:07,  2.31it/s]
  1%|▏         | 2/157 [00:00<00:55,  2.80it/s]
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  8%|▊         | 13/157 [00:02<00:22,  6.26it/s]
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--> Epoch Number : 60  | Training Loss : 0.5299  | Validation Loss : 0.4367  | Validation Accuracy : 85.77%
Training Epoch: 60

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--> Epoch Number : 61  | Training Loss : 0.5266  | Validation Loss : 0.4464  | Validation Accuracy : 85.63%
Training Epoch: 61

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--> Epoch Number : 62  | Training Loss : 0.529  | Validation Loss : 0.45  | Validation Accuracy : 85.62%
Training Epoch: 62

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100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

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--> Epoch Number : 63  | Training Loss : 0.5285  | Validation Loss : 0.4589  | Validation Accuracy : 85.31%
Training Epoch: 63

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--> Epoch Number : 64  | Training Loss : 0.5341  | Validation Loss : 0.4384  | Validation Accuracy : 86.15%
Training Epoch: 64

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100%|█████████▉| 780/782 [02:06<00:00,  6.24it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.24it/s]
100%|██████████| 782/782 [02:07<00:00,  6.16it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<00:59,  2.60it/s]
  1%|▏         | 2/157 [00:00<00:54,  2.85it/s]
  2%|▏         | 3/157 [00:00<00:41,  3.72it/s]
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  3%|▎         | 5/157 [00:01<00:30,  4.97it/s]
  4%|▍         | 6/157 [00:01<00:28,  5.28it/s]
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  6%|▌         | 9/157 [00:01<00:26,  5.64it/s]
  6%|▋         | 10/157 [00:02<00:24,  5.90it/s]
  7%|▋         | 11/157 [00:02<00:24,  5.88it/s]
  8%|▊         | 12/157 [00:02<00:24,  6.03it/s]
  8%|▊         | 13/157 [00:02<00:23,  6.05it/s]
  9%|▉         | 14/157 [00:02<00:23,  6.01it/s]
 10%|▉         | 15/157 [00:02<00:23,  6.13it/s]
 10%|█         | 16/157 [00:03<00:22,  6.17it/s]
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--> Epoch Number : 65  | Training Loss : 0.5298  | Validation Loss : 0.4675  | Validation Accuracy : 85.06%
Training Epoch: 65

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

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100%|██████████| 157/157 [00:26<00:00,  6.00it/s]
--> Epoch Number : 66  | Training Loss : 0.5298  | Validation Loss : 0.4308  | Validation Accuracy : 86.1%
Training Epoch: 66

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--> Epoch Number : 67  | Training Loss : 0.5303  | Validation Loss : 0.4331  | Validation Accuracy : 86.09%
Training Epoch: 67

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100%|██████████| 782/782 [02:07<00:00,  6.16it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<00:59,  2.61it/s]
  1%|▏         | 2/157 [00:00<00:52,  2.94it/s]
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--> Epoch Number : 68  | Training Loss : 0.5236  | Validation Loss : 0.4371  | Validation Accuracy : 86.03%
Training Epoch: 68

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100%|██████████| 782/782 [02:08<00:00,  6.51it/s]
100%|██████████| 782/782 [02:08<00:00,  6.08it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:05,  2.38it/s]
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100%|██████████| 157/157 [00:25<00:00,  6.05it/s]
--> Epoch Number : 69  | Training Loss : 0.5285  | Validation Loss : 0.4405  | Validation Accuracy : 85.76%
Training Epoch: 69

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--> Epoch Number : 70  | Training Loss : 0.5296  | Validation Loss : 0.4335  | Validation Accuracy : 86.1%
Training Epoch: 70

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100%|█████████▉| 780/782 [02:06<00:00,  6.14it/s]
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100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:02,  2.49it/s]
  1%|▏         | 2/157 [00:00<00:54,  2.85it/s]
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--> Epoch Number : 71  | Training Loss : 0.5303  | Validation Loss : 0.4563  | Validation Accuracy : 85.64%
Training Epoch: 71

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100%|█████████▉| 780/782 [02:06<00:00,  6.23it/s]
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100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:03,  2.47it/s]
  1%|▏         | 2/157 [00:00<00:52,  2.95it/s]
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100%|██████████| 157/157 [00:26<00:00,  6.01it/s]
--> Epoch Number : 72  | Training Loss : 0.5309  | Validation Loss : 0.4527  | Validation Accuracy : 85.35%
Training Epoch: 72

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100%|██████████| 157/157 [00:25<00:00,  6.11it/s]
--> Epoch Number : 73  | Training Loss : 0.5274  | Validation Loss : 0.4353  | Validation Accuracy : 85.98%
Training Epoch: 73

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
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--> Epoch Number : 74  | Training Loss : 0.5281  | Validation Loss : 0.4259  | Validation Accuracy : 86.2%
Training Epoch: 74

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--> Epoch Number : 75  | Training Loss : 0.5265  | Validation Loss : 0.4085  | Validation Accuracy : 86.77%
Training Epoch: 75

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100%|█████████▉| 780/782 [02:06<00:00,  6.24it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.24it/s]
100%|██████████| 782/782 [02:06<00:00,  6.16it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:00,  2.56it/s]
  1%|▏         | 2/157 [00:00<00:53,  2.91it/s]
  2%|▏         | 3/157 [00:00<00:40,  3.78it/s]
  3%|▎         | 4/157 [00:01<00:35,  4.34it/s]
  3%|▎         | 5/157 [00:01<00:30,  4.92it/s]
  4%|▍         | 6/157 [00:01<00:28,  5.26it/s]
  4%|▍         | 7/157 [00:01<00:26,  5.59it/s]
  5%|▌         | 8/157 [00:01<00:25,  5.74it/s]
  6%|▌         | 9/157 [00:01<00:25,  5.72it/s]
  6%|▋         | 10/157 [00:02<00:25,  5.72it/s]
  7%|▋         | 11/157 [00:02<00:25,  5.73it/s]
  8%|▊         | 12/157 [00:02<00:24,  5.93it/s]
  8%|▊         | 13/157 [00:02<00:24,  5.95it/s]
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--> Epoch Number : 76  | Training Loss : 0.5326  | Validation Loss : 0.4454  | Validation Accuracy : 85.61%
Training Epoch: 76

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100%|██████████| 782/782 [02:08<00:00,  6.11it/s]
Validation Loop

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100%|██████████| 157/157 [00:25<00:00,  6.14it/s]
--> Epoch Number : 77  | Training Loss : 0.5287  | Validation Loss : 0.4582  | Validation Accuracy : 85.25%
Training Epoch: 77

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100%|██████████| 157/157 [00:25<00:00,  6.12it/s]
--> Epoch Number : 78  | Training Loss : 0.5241  | Validation Loss : 0.4305  | Validation Accuracy : 86.15%
Training Epoch: 78

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100%|█████████▉| 780/782 [02:06<00:00,  6.24it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.24it/s]
100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:01,  2.54it/s]
  1%|▏         | 2/157 [00:00<00:54,  2.84it/s]
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--> Epoch Number : 79  | Training Loss : 0.5259  | Validation Loss : 0.4278  | Validation Accuracy : 86.19%
Training Epoch: 79

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100%|██████████| 782/782 [02:06<00:00,  6.35it/s]
100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:05,  2.39it/s]
  1%|▏         | 2/157 [00:00<00:50,  3.07it/s]
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100%|██████████| 157/157 [00:25<00:00,  6.09it/s]
--> Epoch Number : 80  | Training Loss : 0.5323  | Validation Loss : 0.4517  | Validation Accuracy : 85.65%
Training Epoch: 80

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--> Epoch Number : 81  | Training Loss : 0.5311  | Validation Loss : 0.4457  | Validation Accuracy : 86.02%
Training Epoch: 81

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100%|██████████| 782/782 [02:06<00:00,  6.26it/s]
100%|██████████| 782/782 [02:06<00:00,  6.16it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:04,  2.40it/s]
  1%|▏         | 2/157 [00:00<00:50,  3.08it/s]
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--> Epoch Number : 82  | Training Loss : 0.5313  | Validation Loss : 0.4558  | Validation Accuracy : 85.36%
Training Epoch: 82

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100%|██████████| 782/782 [02:07<00:00,  6.13it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<00:58,  2.67it/s]
  1%|▏         | 2/157 [00:00<00:50,  3.05it/s]
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100%|██████████| 157/157 [00:25<00:00,  6.07it/s]
--> Epoch Number : 83  | Training Loss : 0.5307  | Validation Loss : 0.4141  | Validation Accuracy : 86.54%
Training Epoch: 83

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100%|██████████| 157/157 [00:26<00:00,  6.03it/s]
--> Epoch Number : 84  | Training Loss : 0.5264  | Validation Loss : 0.4221  | Validation Accuracy : 86.36%
Training Epoch: 84

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

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100%|██████████| 157/157 [00:25<00:00,  6.10it/s]
--> Epoch Number : 85  | Training Loss : 0.5322  | Validation Loss : 0.4316  | Validation Accuracy : 86.13%
Training Epoch: 85

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--> Epoch Number : 86  | Training Loss : 0.5301  | Validation Loss : 0.4232  | Validation Accuracy : 86.4%
Training Epoch: 86

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 89%|████████▉ | 696/782 [01:52<00:13,  6.18it/s]
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 98%|█████████▊| 768/782 [02:04<00:02,  6.20it/s]
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100%|█████████▉| 780/782 [02:06<00:00,  6.25it/s]
100%|█████████▉| 781/782 [02:06<00:00,  6.25it/s]
100%|██████████| 782/782 [02:06<00:00,  6.19it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:00,  2.57it/s]
  1%|▏         | 2/157 [00:00<00:53,  2.92it/s]
  2%|▏         | 3/157 [00:00<00:39,  3.89it/s]
  3%|▎         | 4/157 [00:01<00:34,  4.47it/s]
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  4%|▍         | 6/157 [00:01<00:27,  5.45it/s]
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--> Epoch Number : 87  | Training Loss : 0.5323  | Validation Loss : 0.4427  | Validation Accuracy : 85.67%
Training Epoch: 87

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100%|██████████| 782/782 [02:07<00:00,  6.15it/s]
Validation Loop

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100%|██████████| 157/157 [00:26<00:00,  6.04it/s]
--> Epoch Number : 88  | Training Loss : 0.5271  | Validation Loss : 0.4377  | Validation Accuracy : 85.77%
Training Epoch: 88

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--> Epoch Number : 89  | Training Loss : 0.5256  | Validation Loss : 0.4449  | Validation Accuracy : 85.56%
Training Epoch: 89

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100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:05,  2.37it/s]
  1%|▏         | 2/157 [00:00<00:51,  3.02it/s]
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--> Epoch Number : 90  | Training Loss : 0.5283  | Validation Loss : 0.4332  | Validation Accuracy : 86.13%
Training Epoch: 90

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100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
Validation Loop

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100%|██████████| 157/157 [00:25<00:00,  6.11it/s]
--> Epoch Number : 91  | Training Loss : 0.5291  | Validation Loss : 0.4415  | Validation Accuracy : 85.78%
Training Epoch: 91

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--> Epoch Number : 92  | Training Loss : 0.5252  | Validation Loss : 0.4389  | Validation Accuracy : 86.0%
Training Epoch: 92

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100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:00,  2.57it/s]
  1%|▏         | 2/157 [00:00<00:53,  2.89it/s]
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--> Epoch Number : 93  | Training Loss : 0.5304  | Validation Loss : 0.4388  | Validation Accuracy : 85.74%
Training Epoch: 93

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100%|█████████▉| 780/782 [02:07<00:00,  6.19it/s]
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100%|██████████| 782/782 [02:08<00:00,  6.51it/s]
100%|██████████| 782/782 [02:08<00:00,  6.10it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
  1%|          | 1/157 [00:00<01:06,  2.36it/s]
  1%|▏         | 2/157 [00:00<00:52,  2.98it/s]
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100%|██████████| 157/157 [00:25<00:00,  6.20it/s]
--> Epoch Number : 94  | Training Loss : 0.5229  | Validation Loss : 0.4278  | Validation Accuracy : 86.09%
Training Epoch: 94

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100%|██████████| 157/157 [00:25<00:00,  6.10it/s]
--> Epoch Number : 95  | Training Loss : 0.5316  | Validation Loss : 0.4438  | Validation Accuracy : 85.82%
Training Epoch: 95

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100%|██████████| 782/782 [02:06<00:00,  6.17it/s]
Validation Loop

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--> Epoch Number : 96  | Training Loss : 0.5331  | Validation Loss : 0.4666  | Validation Accuracy : 85.25%
Training Epoch: 96

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--> Epoch Number : 97  | Training Loss : 0.5342  | Validation Loss : 0.4415  | Validation Accuracy : 85.8%
Training Epoch: 97

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 89%|████████▊ | 694/782 [01:53<00:14,  6.11it/s]
 89%|████████▉ | 695/782 [01:53<00:14,  6.07it/s]
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 90%|████████▉ | 700/782 [01:54<00:13,  6.17it/s]
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 98%|█████████▊| 766/782 [02:04<00:02,  6.15it/s]
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 98%|█████████▊| 768/782 [02:05<00:02,  6.21it/s]
 98%|█████████▊| 769/782 [02:05<00:02,  6.23it/s]
 98%|█████████▊| 770/782 [02:05<00:01,  6.24it/s]
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100%|█████████▉| 780/782 [02:07<00:00,  6.26it/s]
100%|█████████▉| 781/782 [02:07<00:00,  6.26it/s]
100%|██████████| 782/782 [02:07<00:00,  6.14it/s]
Validation Loop

  0%|          | 0/157 [00:00<?, ?it/s]
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--> Epoch Number : 98  | Training Loss : 0.5273  | Validation Loss : 0.4461  | Validation Accuracy : 85.64%
Training Epoch: 98

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100%|██████████| 782/782 [02:09<00:00,  6.06it/s]
Validation Loop

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--> Epoch Number : 99  | Training Loss : 0.5297  | Validation Loss : 0.4362  | Validation Accuracy : 85.99%
Training Epoch: 99

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--> Epoch Number : 100  | Training Loss : 0.5307  | Validation Loss : 0.4478  | Validation Accuracy : 85.78%
Traceback (most recent call last):
  File "/home/palashdas/jyotin/CIFAR/train.py", line 140, in <module>
    model.eval()
AttributeError: 'collections.OrderedDict' object has no attribute 'eval'
wandb: - 0.014 MB of 0.014 MB uploaded
wandb: \ 0.014 MB of 0.016 MB uploaded
wandb: | 0.014 MB of 0.278 MB uploaded
wandb: / 0.278 MB of 0.278 MB uploaded
wandb: - 0.278 MB of 0.278 MB uploaded
wandb: \ 0.278 MB of 0.278 MB uploaded
wandb:                                                                                
wandb: 
wandb: Run history:
wandb:   train_cost █▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb:   train_loss ▅▄▄▄▄▂▂▂▄▄▂▅▄▃▅▆▄▆▃█▄▃▅▃▄▃▁▁▂▃▄▃▅▄▅▃▄▃▃▂
wandb: val_accuracy ▁█▇██████▇███████▇██████████▇█▇█▇███████
wandb:     val_cost █▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
wandb: 
wandb: Run summary:
wandb:   train_cost 0.53072
wandb:   train_loss 1.07911
wandb: val_accuracy 0.8578
wandb:     val_cost 0.44781
wandb: 
wandb: 🚀 View run blooming-waterfall-9 at: https://wandb.ai/gjyotin305/CIFAR/runs/7kbdmji5
wandb: ⭐️ View project at: https://wandb.ai/gjyotin305/CIFAR
wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20240417_052212-7kbdmji5/logs