diff --git "a/Experiments/Logs/RESNET50_3HLL_CIFAR.out" "b/Experiments/Logs/RESNET50_3HLL_CIFAR.out"
new file mode 100644--- /dev/null
+++ "b/Experiments/Logs/RESNET50_3HLL_CIFAR.out"
@@ -0,0 +1,624 @@
+  File "/root/test_cifar/train.py", line 143
+    print(f"Saved Model as {CIFAR_{epoch+1}_end_hll.pt")
+                                                       ^
+SyntaxError: f-string: expecting '}'
+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 /root/test_cifar/wandb/run-20240418_050322-9t0aeiev
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run feasible-vortex-18
+wandb: ⭐️ View project at https://wandb.ai/gjyotin305/CIFAR
+wandb: 🚀 View run at https://wandb.ai/gjyotin305/CIFAR/runs/9t0aeiev
+Files already downloaded and verified
+Files already downloaded and verified
+/root/test_cifar/env_ml_dl/lib/python3.10/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(
+/root/test_cifar/env_ml_dl/lib/python3.10/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: 1
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.42it/s]
+--> Epoch Number : 1  | Training Loss : 2.228  | Validation Loss : 2.0095  | Validation Accuracy : 48.73%
+Training Epoch: 2
+
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+Validation Loop
+
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+--> Epoch Number : 2  | Training Loss : 1.4728  | Validation Loss : 0.861  | Validation Accuracy : 77.95%
+Training Epoch: 3
+
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100%|██████████| 782/782 [02:05<00:00,  6.23it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.50it/s]
+--> Epoch Number : 3  | Training Loss : 0.7157  | Validation Loss : 0.3831  | Validation Accuracy : 88.34%
+Training Epoch: 4
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.52it/s]
+--> Epoch Number : 4  | Training Loss : 0.4285  | Validation Loss : 0.254  | Validation Accuracy : 91.75%
+Training Epoch: 5
+
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+Traceback (most recent call last):
+  File "/root/test_cifar/train.py", line 154, in <module>
+    accuracy_list_normalv5, train_cost_listv5, val_cost_listv5, model_to_save=train_model(model=model_check,
+  File "/root/test_cifar/train.py", line 142, in train_model
+    torch.save(model.state_dict(), f"./logs_model/CIFAR_{epoch+1}_end_hll.pt")
+  File "/root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torch/serialization.py", line 628, in save
+    with _open_zipfile_writer(f) as opened_zipfile:
+  File "/root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torch/serialization.py", line 502, in _open_zipfile_writer
+    return container(name_or_buffer)
+  File "/root/test_cifar/env_ml_dl/lib/python3.10/site-packages/torch/serialization.py", line 473, in __init__
+    super().__init__(torch._C.PyTorchFileWriter(self.name))
+RuntimeError: Parent directory ./logs_model does not exist.
+wandb: - 0.007 MB of 0.007 MB uploaded
wandb: \ 0.007 MB of 0.011 MB uploaded
wandb: | 0.012 MB of 0.012 MB uploaded
wandb: / 0.012 MB of 0.012 MB uploaded
wandb: 
+wandb: Run history:
+wandb: train_loss ███████▇▇▆▆▆▅▄▅▄▃▄▄▃▂▂▂▂▂▂▂▁▁▂▂▂▂▁▁▂▂▂▂▂
+wandb:    val_acc ▁▆▇██
+wandb:   val_loss ████████▄▄▃▃▄▄▄▄▃▂▂▂▂▂▂▂▁▁▂▁▁▂▁▂▂▂▁▁▂▁▁▁
+wandb: 
+wandb: Run summary:
+wandb: train_loss 0.44522
+wandb:    val_acc 0.9332
+wandb:   val_loss 0.09327
+wandb: 
+wandb: 🚀 View run feasible-vortex-18 at: https://wandb.ai/gjyotin305/CIFAR/runs/9t0aeiev
+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-20240418_050322-9t0aeiev/logs
+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 /root/test_cifar/wandb/run-20240418_051545-08ne5f0a
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run atomic-valley-19
+wandb: ⭐️ View project at https://wandb.ai/gjyotin305/CIFAR
+wandb: 🚀 View run at https://wandb.ai/gjyotin305/CIFAR/runs/08ne5f0a
+Files already downloaded and verified
+Files already downloaded and verified
+/root/test_cifar/env_ml_dl/lib/python3.10/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(
+/root/test_cifar/env_ml_dl/lib/python3.10/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: 1
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100%|██████████| 782/782 [02:04<00:00,  6.26it/s]
+Validation Loop
+
  0%|          | 0/157 [00:00<?, ?it/s]
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100%|██████████| 157/157 [00:09<00:00, 16.44it/s]
+--> Epoch Number : 1  | Training Loss : 2.1929  | Validation Loss : 1.9084  | Validation Accuracy : 42.66%
+Training Epoch: 2
+
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+Validation Loop
+
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+--> Epoch Number : 2  | Training Loss : 1.4313  | Validation Loss : 0.8592  | Validation Accuracy : 77.91%
+Training Epoch: 3
+
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+Validation Loop
+
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+--> Epoch Number : 3  | Training Loss : 0.6905  | Validation Loss : 0.3537  | Validation Accuracy : 89.08%
+Training Epoch: 4
+
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100%|██████████| 782/782 [02:05<00:00,  6.23it/s]
+Validation Loop
+
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+--> Epoch Number : 4  | Training Loss : 0.409  | Validation Loss : 0.2445  | Validation Accuracy : 92.23%
+Training Epoch: 5
+
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+Validation Loop
+
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+Saved Model as CIFAR_5_end_hll.pt
+--> Epoch Number : 5  | Training Loss : 0.3187  | Validation Loss : 0.2026  | Validation Accuracy : 93.39%
+Training Epoch: 6
+
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+Validation Loop
+
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+--> Epoch Number : 6  | Training Loss : 0.2652  | Validation Loss : 0.1752  | Validation Accuracy : 94.18%
+Training Epoch: 7
+
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100%|██████████| 782/782 [02:05<00:00,  6.23it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.34it/s]
+--> Epoch Number : 7  | Training Loss : 0.2365  | Validation Loss : 0.1591  | Validation Accuracy : 94.61%
+Training Epoch: 8
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.30it/s]
+--> Epoch Number : 8  | Training Loss : 0.2119  | Validation Loss : 0.1574  | Validation Accuracy : 94.65%
+Training Epoch: 9
+
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+Validation Loop
+
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+--> Epoch Number : 9  | Training Loss : 0.1947  | Validation Loss : 0.1444  | Validation Accuracy : 95.08%
+Training Epoch: 10
+
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100%|██████████| 782/782 [02:05<00:00,  6.23it/s]
+Validation Loop
+
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+Saved Model as CIFAR_10_end_hll.pt
+--> Epoch Number : 10  | Training Loss : 0.1801  | Validation Loss : 0.1376  | Validation Accuracy : 95.34%
+Training Epoch: 11
+
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+Validation Loop
+
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+--> Epoch Number : 11  | Training Loss : 0.168  | Validation Loss : 0.136  | Validation Accuracy : 95.31%
+Training Epoch: 12
+
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+Validation Loop
+
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+--> Epoch Number : 12  | Training Loss : 0.1564  | Validation Loss : 0.1333  | Validation Accuracy : 95.47%
+Training Epoch: 13
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.47it/s]
+--> Epoch Number : 13  | Training Loss : 0.1467  | Validation Loss : 0.1262  | Validation Accuracy : 95.63%
+Training Epoch: 14
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.52it/s]
+--> Epoch Number : 14  | Training Loss : 0.1386  | Validation Loss : 0.1238  | Validation Accuracy : 95.71%
+Training Epoch: 15
+
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+Validation Loop
+
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+Saved Model as CIFAR_15_end_hll.pt
+--> Epoch Number : 15  | Training Loss : 0.127  | Validation Loss : 0.1211  | Validation Accuracy : 95.78%
+Training Epoch: 16
+
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100%|██████████| 782/782 [02:05<00:00,  6.24it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.46it/s]
+--> Epoch Number : 16  | Training Loss : 0.1234  | Validation Loss : 0.1193  | Validation Accuracy : 95.98%
+Training Epoch: 17
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.49it/s]
+--> Epoch Number : 17  | Training Loss : 0.1167  | Validation Loss : 0.1156  | Validation Accuracy : 96.05%
+Training Epoch: 18
+
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+Validation Loop
+
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+--> Epoch Number : 18  | Training Loss : 0.1092  | Validation Loss : 0.1163  | Validation Accuracy : 96.05%
+Training Epoch: 19
+
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100%|██████████| 782/782 [02:05<00:00,  6.24it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.48it/s]
+--> Epoch Number : 19  | Training Loss : 0.1039  | Validation Loss : 0.1147  | Validation Accuracy : 96.14%
+Training Epoch: 20
+
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+Validation Loop
+
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+Saved Model as CIFAR_20_end_hll.pt
+--> Epoch Number : 20  | Training Loss : 0.0985  | Validation Loss : 0.1175  | Validation Accuracy : 96.12%
+Training Epoch: 21
+
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+Validation Loop
+
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+--> Epoch Number : 21  | Training Loss : 0.0947  | Validation Loss : 0.1182  | Validation Accuracy : 96.0%
+Training Epoch: 22
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.43it/s]
+--> Epoch Number : 22  | Training Loss : 0.0923  | Validation Loss : 0.1202  | Validation Accuracy : 96.06%
+Training Epoch: 23
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.41it/s]
+--> Epoch Number : 23  | Training Loss : 0.0841  | Validation Loss : 0.122  | Validation Accuracy : 96.03%
+Training Epoch: 24
+
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+Validation Loop
+
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+--> Epoch Number : 24  | Training Loss : 0.0808  | Validation Loss : 0.1121  | Validation Accuracy : 96.41%
+Training Epoch: 25
+
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+Validation Loop
+
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+Saved Model as CIFAR_25_end_hll.pt
+--> Epoch Number : 25  | Training Loss : 0.0792  | Validation Loss : 0.1144  | Validation Accuracy : 96.4%
+Training Epoch: 26
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.42it/s]
+--> Epoch Number : 26  | Training Loss : 0.0766  | Validation Loss : 0.1179  | Validation Accuracy : 96.12%
+Training Epoch: 27
+
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+Validation Loop
+
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+--> Epoch Number : 27  | Training Loss : 0.0757  | Validation Loss : 0.1139  | Validation Accuracy : 96.38%
+Training Epoch: 28
+
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100%|██████████| 782/782 [02:05<00:00,  6.23it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.51it/s]
+--> Epoch Number : 28  | Training Loss : 0.0671  | Validation Loss : 0.1123  | Validation Accuracy : 96.36%
+Training Epoch: 29
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.39it/s]
+--> Epoch Number : 29  | Training Loss : 0.0645  | Validation Loss : 0.1122  | Validation Accuracy : 96.45%
+Training Epoch: 30
+
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+Validation Loop
+
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+Saved Model as CIFAR_30_end_hll.pt
+--> Epoch Number : 30  | Training Loss : 0.0666  | Validation Loss : 0.111  | Validation Accuracy : 96.6%
+Training Epoch: 31
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.45it/s]
+--> Epoch Number : 31  | Training Loss : 0.0631  | Validation Loss : 0.1077  | Validation Accuracy : 96.57%
+Training Epoch: 32
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.44it/s]
+--> Epoch Number : 32  | Training Loss : 0.0595  | Validation Loss : 0.1104  | Validation Accuracy : 96.59%
+Training Epoch: 33
+
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+Validation Loop
+
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+--> Epoch Number : 33  | Training Loss : 0.0585  | Validation Loss : 0.1098  | Validation Accuracy : 96.44%
+Training Epoch: 34
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.47it/s]
+--> Epoch Number : 34  | Training Loss : 0.055  | Validation Loss : 0.1134  | Validation Accuracy : 96.5%
+Training Epoch: 35
+
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+Validation Loop
+
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+Saved Model as CIFAR_35_end_hll.pt
+--> Epoch Number : 35  | Training Loss : 0.0539  | Validation Loss : 0.1116  | Validation Accuracy : 96.49%
+Training Epoch: 36
+
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+Validation Loop
+
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+--> Epoch Number : 36  | Training Loss : 0.0529  | Validation Loss : 0.1098  | Validation Accuracy : 96.6%
+Training Epoch: 37
+
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100%|██████████| 782/782 [02:05<00:00,  6.24it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.54it/s]
+--> Epoch Number : 37  | Training Loss : 0.0504  | Validation Loss : 0.1119  | Validation Accuracy : 96.53%
+Training Epoch: 38
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.50it/s]
+--> Epoch Number : 38  | Training Loss : 0.0498  | Validation Loss : 0.1122  | Validation Accuracy : 96.6%
+Training Epoch: 39
+
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+Validation Loop
+
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+--> Epoch Number : 39  | Training Loss : 0.0468  | Validation Loss : 0.1106  | Validation Accuracy : 96.69%
+Training Epoch: 40
+
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+Validation Loop
+
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+Saved Model as CIFAR_40_end_hll.pt
+--> Epoch Number : 40  | Training Loss : 0.0477  | Validation Loss : 0.115  | Validation Accuracy : 96.62%
+Training Epoch: 41
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.57it/s]
+--> Epoch Number : 41  | Training Loss : 0.0467  | Validation Loss : 0.111  | Validation Accuracy : 96.64%
+Training Epoch: 42
+
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+Validation Loop
+
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+--> Epoch Number : 42  | Training Loss : 0.0422  | Validation Loss : 0.113  | Validation Accuracy : 96.76%
+Training Epoch: 43
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.47it/s]
+--> Epoch Number : 43  | Training Loss : 0.0398  | Validation Loss : 0.1155  | Validation Accuracy : 96.53%
+Training Epoch: 44
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.40it/s]
+--> Epoch Number : 44  | Training Loss : 0.0385  | Validation Loss : 0.1115  | Validation Accuracy : 96.86%
+Training Epoch: 45
+
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+Validation Loop
+
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+Saved Model as CIFAR_45_end_hll.pt
+--> Epoch Number : 45  | Training Loss : 0.0397  | Validation Loss : 0.1125  | Validation Accuracy : 96.89%
+Training Epoch: 46
+
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100%|██████████| 782/782 [02:05<00:00,  6.22it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.47it/s]
+--> Epoch Number : 46  | Training Loss : 0.0358  | Validation Loss : 0.1097  | Validation Accuracy : 96.69%
+Training Epoch: 47
+
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+Validation Loop
+
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100%|█████��████| 157/157 [00:09<00:00, 16.49it/s]
+--> Epoch Number : 47  | Training Loss : 0.0363  | Validation Loss : 0.1124  | Validation Accuracy : 96.68%
+Training Epoch: 48
+
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+Validation Loop
+
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+--> Epoch Number : 48  | Training Loss : 0.0367  | Validation Loss : 0.1113  | Validation Accuracy : 96.76%
+Training Epoch: 49
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.37it/s]
+--> Epoch Number : 49  | Training Loss : 0.0356  | Validation Loss : 0.1121  | Validation Accuracy : 96.77%
+Training Epoch: 50
+
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+Validation Loop
+
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+Saved Model as CIFAR_50_end_hll.pt
+--> Epoch Number : 50  | Training Loss : 0.0333  | Validation Loss : 0.1139  | Validation Accuracy : 96.72%
+Training Epoch: 51
+
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+Validation Loop
+
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+--> Epoch Number : 51  | Training Loss : 0.0338  | Validation Loss : 0.1145  | Validation Accuracy : 96.59%
+Training Epoch: 52
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.39it/s]
+--> Epoch Number : 52  | Training Loss : 0.0336  | Validation Loss : 0.1138  | Validation Accuracy : 96.72%
+Training Epoch: 53
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.49it/s]
+--> Epoch Number : 53  | Training Loss : 0.0297  | Validation Loss : 0.1167  | Validation Accuracy : 96.65%
+Training Epoch: 54
+
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+Validation Loop
+
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+--> Epoch Number : 54  | Training Loss : 0.0304  | Validation Loss : 0.1185  | Validation Accuracy : 96.78%
+Training Epoch: 55
+
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+Validation Loop
+
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+Saved Model as CIFAR_55_end_hll.pt
+--> Epoch Number : 55  | Training Loss : 0.0324  | Validation Loss : 0.1157  | Validation Accuracy : 96.67%
+Training Epoch: 56
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.44it/s]
+--> Epoch Number : 56  | Training Loss : 0.0301  | Validation Loss : 0.117  | Validation Accuracy : 96.8%
+Training Epoch: 57
+
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+Validation Loop
+
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+--> Epoch Number : 57  | Training Loss : 0.03  | Validation Loss : 0.1123  | Validation Accuracy : 96.87%
+Training Epoch: 58
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.45it/s]
+--> Epoch Number : 58  | Training Loss : 0.0298  | Validation Loss : 0.1173  | Validation Accuracy : 96.98%
+Training Epoch: 59
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.44it/s]
+--> Epoch Number : 59  | Training Loss : 0.0261  | Validation Loss : 0.1109  | Validation Accuracy : 96.86%
+Training Epoch: 60
+
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+Validation Loop
+
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+Saved Model as CIFAR_60_end_hll.pt
+--> Epoch Number : 60  | Training Loss : 0.0267  | Validation Loss : 0.1149  | Validation Accuracy : 96.72%
+Training Epoch: 61
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.39it/s]
+--> Epoch Number : 61  | Training Loss : 0.0255  | Validation Loss : 0.1132  | Validation Accuracy : 96.88%
+Training Epoch: 62
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.26it/s]
+--> Epoch Number : 62  | Training Loss : 0.0267  | Validation Loss : 0.1155  | Validation Accuracy : 96.85%
+Training Epoch: 63
+
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+Validation Loop
+
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+--> Epoch Number : 63  | Training Loss : 0.0247  | Validation Loss : 0.1124  | Validation Accuracy : 96.94%
+Training Epoch: 64
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.45it/s]
+--> Epoch Number : 64  | Training Loss : 0.0246  | Validation Loss : 0.112  | Validation Accuracy : 96.99%
+Training Epoch: 65
+
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+Validation Loop
+
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+Saved Model as CIFAR_65_end_hll.pt
+--> Epoch Number : 65  | Training Loss : 0.0262  | Validation Loss : 0.1114  | Validation Accuracy : 96.84%
+Training Epoch: 66
+
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+Validation Loop
+
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+--> Epoch Number : 66  | Training Loss : 0.0238  | Validation Loss : 0.1129  | Validation Accuracy : 97.09%
+Training Epoch: 67
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.46it/s]
+--> Epoch Number : 67  | Training Loss : 0.0222  | Validation Loss : 0.1118  | Validation Accuracy : 97.02%
+Training Epoch: 68
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.41it/s]
+--> Epoch Number : 68  | Training Loss : 0.0224  | Validation Loss : 0.1136  | Validation Accuracy : 96.99%
+Training Epoch: 69
+
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+Validation Loop
+
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+--> Epoch Number : 69  | Training Loss : 0.023  | Validation Loss : 0.1146  | Validation Accuracy : 96.98%
+Training Epoch: 70
+
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+Validation Loop
+
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+Saved Model as CIFAR_70_end_hll.pt
+--> Epoch Number : 70  | Training Loss : 0.0222  | Validation Loss : 0.1162  | Validation Accuracy : 96.92%
+Training Epoch: 71
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.33it/s]
+--> Epoch Number : 71  | Training Loss : 0.0206  | Validation Loss : 0.1149  | Validation Accuracy : 97.01%
+Training Epoch: 72
+
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+Validation Loop
+
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+--> Epoch Number : 72  | Training Loss : 0.0219  | Validation Loss : 0.1183  | Validation Accuracy : 96.89%
+Training Epoch: 73
+
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100%|██████████| 782/782 [02:05<00:00,  6.23it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.39it/s]
+--> Epoch Number : 73  | Training Loss : 0.0204  | Validation Loss : 0.1141  | Validation Accuracy : 96.95%
+Training Epoch: 74
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.39it/s]
+--> Epoch Number : 74  | Training Loss : 0.0209  | Validation Loss : 0.1155  | Validation Accuracy : 97.02%
+Training Epoch: 75
+
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+Validation Loop
+
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+Saved Model as CIFAR_75_end_hll.pt
+--> Epoch Number : 75  | Training Loss : 0.0199  | Validation Loss : 0.1147  | Validation Accuracy : 96.99%
+Training Epoch: 76
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.36it/s]
+--> Epoch Number : 76  | Training Loss : 0.021  | Validation Loss : 0.1119  | Validation Accuracy : 97.06%
+Training Epoch: 77
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.42it/s]
+--> Epoch Number : 77  | Training Loss : 0.0204  | Validation Loss : 0.115  | Validation Accuracy : 96.99%
+Training Epoch: 78
+
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+Validation Loop
+
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+--> Epoch Number : 78  | Training Loss : 0.0203  | Validation Loss : 0.1132  | Validation Accuracy : 97.11%
+Training Epoch: 79
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.55it/s]
+--> Epoch Number : 79  | Training Loss : 0.0203  | Validation Loss : 0.1138  | Validation Accuracy : 97.0%
+Training Epoch: 80
+
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+Validation Loop
+
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+Saved Model as CIFAR_80_end_hll.pt
+--> Epoch Number : 80  | Training Loss : 0.0197  | Validation Loss : 0.1181  | Validation Accuracy : 97.12%
+Training Epoch: 81
+
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+Validation Loop
+
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+--> Epoch Number : 81  | Training Loss : 0.02  | Validation Loss : 0.1161  | Validation Accuracy : 96.99%
+Training Epoch: 82
+
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100%|██████████| 782/782 [02:05<00:00,  6.24it/s]
+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.46it/s]
+--> Epoch Number : 82  | Training Loss : 0.0186  | Validation Loss : 0.1208  | Validation Accuracy : 96.91%
+Training Epoch: 83
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.44it/s]
+--> Epoch Number : 83  | Training Loss : 0.0169  | Validation Loss : 0.1137  | Validation Accuracy : 97.17%
+Training Epoch: 84
+
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+Validation Loop
+
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+--> Epoch Number : 84  | Training Loss : 0.0169  | Validation Loss : 0.1168  | Validation Accuracy : 97.0%
+Training Epoch: 85
+
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+Validation Loop
+
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+Saved Model as CIFAR_85_end_hll.pt
+--> Epoch Number : 85  | Training Loss : 0.0183  | Validation Loss : 0.1166  | Validation Accuracy : 97.09%
+Training Epoch: 86
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.40it/s]
+--> Epoch Number : 86  | Training Loss : 0.0179  | Validation Loss : 0.1209  | Validation Accuracy : 96.8%
+Training Epoch: 87
+
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+Validation Loop
+
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+--> Epoch Number : 87  | Training Loss : 0.017  | Validation Loss : 0.1168  | Validation Accuracy : 97.05%
+Training Epoch: 88
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.35it/s]
+--> Epoch Number : 88  | Training Loss : 0.0179  | Validation Loss : 0.1188  | Validation Accuracy : 97.02%
+Training Epoch: 89
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.42it/s]
+--> Epoch Number : 89  | Training Loss : 0.0159  | Validation Loss : 0.1196  | Validation Accuracy : 97.02%
+Training Epoch: 90
+
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+Validation Loop
+
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+Saved Model as CIFAR_90_end_hll.pt
+--> Epoch Number : 90  | Training Loss : 0.0172  | Validation Loss : 0.1155  | Validation Accuracy : 97.1%
+Training Epoch: 91
+
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+Validation Loop
+
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+--> Epoch Number : 91  | Training Loss : 0.0179  | Validation Loss : 0.1171  | Validation Accuracy : 97.09%
+Training Epoch: 92
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.43it/s]
+--> Epoch Number : 92  | Training Loss : 0.0163  | Validation Loss : 0.1162  | Validation Accuracy : 96.97%
+Training Epoch: 93
+
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+Validation Loop
+
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+--> Epoch Number : 93  | Training Loss : 0.0149  | Validation Loss : 0.1156  | Validation Accuracy : 97.08%
+Training Epoch: 94
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.39it/s]
+--> Epoch Number : 94  | Training Loss : 0.0138  | Validation Loss : 0.1182  | Validation Accuracy : 97.01%
+Training Epoch: 95
+
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+Validation Loop
+
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+Saved Model as CIFAR_95_end_hll.pt
+--> Epoch Number : 95  | Training Loss : 0.0158  | Validation Loss : 0.1163  | Validation Accuracy : 97.16%
+Training Epoch: 96
+
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+Validation Loop
+
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+--> Epoch Number : 96  | Training Loss : 0.0148  | Validation Loss : 0.1169  | Validation Accuracy : 96.98%
+Training Epoch: 97
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.46it/s]
+--> Epoch Number : 97  | Training Loss : 0.0148  | Validation Loss : 0.1148  | Validation Accuracy : 97.04%
+Training Epoch: 98
+
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+Validation Loop
+
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100%|██████████| 157/157 [00:09<00:00, 16.36it/s]
+--> Epoch Number : 98  | Training Loss : 0.0147  | Validation Loss : 0.1183  | Validation Accuracy : 96.95%
+Training Epoch: 99
+
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+Validation Loop
+
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+--> Epoch Number : 99  | Training Loss : 0.0145  | Validation Loss : 0.1212  | Validation Accuracy : 96.97%
+Training Epoch: 100
+
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+Validation Loop
+
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+Saved Model as CIFAR_100_end_hll.pt
+--> Epoch Number : 100  | Training Loss : 0.0156  | Validation Loss : 0.1203  | Validation Accuracy : 97.12%
+Traceback (most recent call last):
+  File "/root/test_cifar/train.py", line 162, in <module>
+    model.eval()
+AttributeError: 'collections.OrderedDict' object has no attribute 'eval'
+wandb: - 0.007 MB of 0.007 MB uploaded
wandb: \ 0.007 MB of 0.243 MB uploaded
wandb: | 0.243 MB of 0.243 MB uploaded
wandb: / 0.243 MB of 0.243 MB uploaded
wandb: - 0.243 MB of 0.243 MB uploaded
wandb: 
+wandb: Run history:
+wandb: train_loss █▃▂▃▂▂▁▁▁▁▁▂▁▁▁▁▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
+wandb:    val_acc ▁▇██████████████████████████████████████
+wandb:   val_loss █▁▂▁▁▁▂▁▂▁▁▂▂▂▂▁▁▂▂▁▂▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
+wandb: 
+wandb: Run summary:
+wandb: train_loss 0.06611
+wandb:    val_acc 0.9712
+wandb:   val_loss 0.5941
+wandb: 
+wandb: 🚀 View run atomic-valley-19 at: https://wandb.ai/gjyotin305/CIFAR/runs/08ne5f0a
+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-20240418_051545-08ne5f0a/logs