diff --git "a/Experiments/Logs/RESNET50_CIFAR.out" "b/Experiments/Logs/RESNET50_CIFAR.out"
new file mode 100644--- /dev/null
+++ "b/Experiments/Logs/RESNET50_CIFAR.out"
@@ -0,0 +1,537 @@
+wandb: Currently logged in as: gjyotin305 (gjyotin). Use `wandb login --relogin` to force relogin
+wandb: Currently logged in as: gjyotin305. Use `wandb login --relogin` to force relogin
+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
+wandb: Run `wandb offline` to turn off syncing.
+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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+Validation Loop
+
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+--> 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,  6.14it/s]
+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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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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+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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+Validation Loop
+
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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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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]
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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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+Validation Loop
+
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+--> Epoch Number : 8  | Training Loss : 0.5259  | Validation Loss : 0.429  | Validation Accuracy : 86.0%
+Training Epoch: 8
+
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+Validation Loop
+
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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%|██████████| 782/782 [02:07<00:00,  6.15it/s]
+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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+--> 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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+--> Epoch Number : 16  | Training Loss : 0.5321  | Validation Loss : 0.4285  | Validation Accuracy : 86.42%
+Training Epoch: 16
+
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+Validation Loop
+
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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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 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]
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 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]
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 99%|█████████▉| 774/782 [02:07<00:01,  6.17it/s]
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 99%|█████████▉| 777/782 [02:07<00:00,  6.19it/s]
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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
+
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100%|██████████| 157/157 [00:25<00:00,  6.08it/s]
+--> Epoch Number : 18  | Training Loss : 0.5307  | Validation Loss : 0.4377  | Validation Accuracy : 86.01%
+Training Epoch: 18
+
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+Validation Loop
+
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+--> Epoch Number : 19  | Training Loss : 0.5305  | Validation Loss : 0.4483  | Validation Accuracy : 85.46%
+Training Epoch: 19
+
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+Validation Loop
+
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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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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]
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  1%|▏         | 2/157 [00:00<00:49,  3.14it/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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+Validation Loop
+
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+--> Epoch Number : 22  | Training Loss : 0.5279  | Validation Loss : 0.4492  | Validation Accuracy : 85.37%
+Training Epoch: 22
+
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+Validation Loop
+
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+--> Epoch Number : 23  | Training Loss : 0.5293  | Validation Loss : 0.4551  | Validation Accuracy : 85.41%
+Training Epoch: 23
+
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100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
+Validation Loop
+
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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%|██████████| 782/782 [02:08<00:00,  6.07it/s]
+Validation Loop
+
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+--> Epoch Number : 25  | Training Loss : 0.5269  | Validation Loss : 0.4411  | Validation Accuracy : 85.93%
+Training Epoch: 25
+
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+Validation Loop
+
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+--> 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
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 30  | Training Loss : 0.5308  | Validation Loss : 0.439  | Validation Accuracy : 85.83%
+Training Epoch: 30
+
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+Validation Loop
+
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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%|██████████| 782/782 [02:08<00:00,  6.11it/s]
+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 33  | Training Loss : 0.532  | Validation Loss : 0.464  | Validation Accuracy : 85.29%
+Training Epoch: 33
+
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+Validation Loop
+
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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
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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+--> 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
+
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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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+Validation Loop
+
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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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+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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+Validation Loop
+
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+--> Epoch Number : 41  | Training Loss : 0.5282  | Validation Loss : 0.4253  | Validation Accuracy : 86.35%
+Training Epoch: 41
+
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+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 44  | Training Loss : 0.5269  | Validation Loss : 0.4645  | Validation Accuracy : 85.11%
+Training Epoch: 44
+
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+Validation Loop
+
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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%|██████████| 782/782 [02:07<00:00,  6.15it/s]
+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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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%|██████████| 782/782 [02:07<00:00,  6.15it/s]
+Validation Loop
+
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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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+Validation Loop
+
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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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+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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+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 55  | Training Loss : 0.5327  | Validation Loss : 0.421  | Validation Accuracy : 86.24%
+Training Epoch: 55
+
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+Validation Loop
+
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+--> Epoch Number : 56  | Training Loss : 0.5328  | Validation Loss : 0.4451  | Validation Accuracy : 85.66%
+Training Epoch: 56
+
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100%|██████████| 782/782 [02:06<00:00,  6.18it/s]
+Validation Loop
+
  0%|          | 0/157 [00:00<?, ?it/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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+Validation Loop
+
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+--> Epoch Number : 58  | Training Loss : 0.5323  | Validation Loss : 0.4402  | Validation Accuracy : 85.91%
+Training Epoch: 58
+
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+Validation Loop
+
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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%|██████████| 782/782 [02:08<00:00,  6.08it/s]
+Validation Loop
+
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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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+Validation Loop
+
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100%|██████████| 157/157 [00:26<00:00,  5.98it/s]
+--> Epoch Number : 61  | Training Loss : 0.5266  | Validation Loss : 0.4464  | Validation Accuracy : 85.63%
+Training Epoch: 61
+
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+Validation Loop
+
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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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+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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+Validation Loop
+
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100%|██████████| 157/157 [00:25<00:00,  6.08it/s]
+--> Epoch Number : 64  | Training Loss : 0.5341  | Validation Loss : 0.4384  | Validation Accuracy : 86.15%
+Training Epoch: 64
+
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+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 66  | Training Loss : 0.5298  | Validation Loss : 0.4308  | Validation Accuracy : 86.1%
+Training Epoch: 66
+
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+Validation Loop
+
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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
+
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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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+Validation Loop
+
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+--> Epoch Number : 69  | Training Loss : 0.5285  | Validation Loss : 0.4405  | Validation Accuracy : 85.76%
+Training Epoch: 69
+
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+Validation Loop
+
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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%|██████████| 782/782 [02:06<00:00,  6.17it/s]
+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 72  | Training Loss : 0.5309  | Validation Loss : 0.4527  | Validation Accuracy : 85.35%
+Training Epoch: 72
+
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+Validation Loop
+
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+--> 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
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 77  | Training Loss : 0.5287  | Validation Loss : 0.4582  | Validation Accuracy : 85.25%
+Training Epoch: 77
+
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+Validation Loop
+
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+--> Epoch Number : 78  | Training Loss : 0.5241  | Validation Loss : 0.4305  | Validation Accuracy : 86.15%
+Training Epoch: 78
+
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+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 80  | Training Loss : 0.5323  | Validation Loss : 0.4517  | Validation Accuracy : 85.65%
+Training Epoch: 80
+
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+Validation Loop
+
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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,  6.16it/s]
+Validation Loop
+
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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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+Validation Loop
+
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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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+Validation Loop
+
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+--> 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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+--> Epoch Number : 85  | Training Loss : 0.5322  | Validation Loss : 0.4316  | Validation Accuracy : 86.13%
+Training Epoch: 85
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:25<00:00,  6.09it/s]
+--> Epoch Number : 86  | Training Loss : 0.5301  | Validation Loss : 0.4232  | Validation Accuracy : 86.4%
+Training Epoch: 86
+
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+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 88  | Training Loss : 0.5271  | Validation Loss : 0.4377  | Validation Accuracy : 85.77%
+Training Epoch: 88
+
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+Validation Loop
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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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+Validation Loop
+
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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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+Validation Loop
+
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+--> Epoch Number : 91  | Training Loss : 0.5291  | Validation Loss : 0.4415  | Validation Accuracy : 85.78%
+Training Epoch: 91
+
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+Validation Loop
+
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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
+
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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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+Validation Loop
+
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+--> Epoch Number : 94  | Training Loss : 0.5229  | Validation Loss : 0.4278  | Validation Accuracy : 86.09%
+Training Epoch: 94
+
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+Validation Loop
+
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+--> Epoch Number : 95  | Training Loss : 0.5316  | Validation Loss : 0.4438  | Validation Accuracy : 85.82%
+Training Epoch: 95
+
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+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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100%|██████████| 782/782 [02:07<00:00,  6.14it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:25<00:00,  6.16it/s]
+--> Epoch Number : 97  | Training Loss : 0.5342  | Validation Loss : 0.4415  | Validation Accuracy : 85.8%
+Training Epoch: 97
+
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+Validation Loop
+
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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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+Validation Loop
+
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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