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unet_epochs15_batch32_lr0.001.log

@@ -0,0 +1,67 @@
+nohup: ignoring input
+PyTorch version: 2.7.0+cu128
+CUDA available: True
+CUDA version: 12.8
+GPU: NVIDIA GeForce RTX 4090
+sigmoid disabled
+checkpoint_path: checkpoints/unet_epochs15_batch32_lr0.001
+
+Epoch [1/15]
+Time taken for epoch 1: 0:00:43.374418
+Train Loss: 0.7487 | Val Loss: 0.6093
+
+Epoch [2/15]
+Time taken for epoch 2: 0:00:42.266390
+Train Loss: 0.5564 | Val Loss: 0.6209
+
+Epoch [3/15]
+Time taken for epoch 3: 0:00:42.305472
+Train Loss: 0.5042 | Val Loss: 0.4676
+
+Epoch [4/15]
+Time taken for epoch 4: 0:00:42.237916
+Train Loss: 0.4718 | Val Loss: 0.4394
+
+Epoch [5/15]
+Time taken for epoch 5: 0:00:42.203672
+Train Loss: 0.4293 | Val Loss: 0.5233
+
+Epoch [6/15]
+Time taken for epoch 6: 0:00:42.163494
+Train Loss: 0.4230 | Val Loss: 0.4025
+
+Epoch [7/15]
+Time taken for epoch 7: 0:00:42.253392
+Train Loss: 0.3958 | Val Loss: 0.4379
+
+Epoch [8/15]
+Time taken for epoch 8: 0:00:42.183860
+Train Loss: 0.3775 | Val Loss: 0.3714
+
+Epoch [9/15]
+Time taken for epoch 9: 0:00:42.259339
+Train Loss: 0.3715 | Val Loss: 0.4443
+
+Epoch [10/15]
+Time taken for epoch 10: 0:00:42.254248
+Train Loss: 0.3484 | Val Loss: 0.3739
+
+Epoch [11/15]
+Time taken for epoch 11: 0:00:42.232907
+Train Loss: 0.3313 | Val Loss: 0.3589
+
+Epoch [12/15]
+Time taken for epoch 12: 0:00:42.228751
+Train Loss: 0.3166 | Val Loss: 0.3541
+
+Epoch [13/15]
+Time taken for epoch 13: 0:00:42.221082
+Train Loss: 0.2971 | Val Loss: 0.3467
+
+Epoch [14/15]
+Time taken for epoch 14: 0:00:42.262076
+Train Loss: 0.2845 | Val Loss: 0.3159
+
+Epoch [15/15]
+Time taken for epoch 15: 0:00:42.197832
+Train Loss: 0.2630 | Val Loss: 0.3287

unet_epochs30_batch32_lr0.001.log

@@ -0,0 +1,153 @@
+nohup: ignoring input
+PyTorch version: 2.7.0+cu128
+CUDA available: True
+CUDA version: 12.8
+GPU: NVIDIA GeForce RTX 4090
+sigmoid disabled
+checkpoint_path: checkpoints/unet_epochs30_batch32_lr0.001
+
+Epoch [1/30]
+Time taken for epoch 1: 0:00:43.209978
+Train Loss: 0.7238 | Val Loss: 0.6560
+✅ Validation improved — model saved.
+
+Epoch [2/30]
+Time taken for epoch 2: 0:00:42.164845
+Train Loss: 0.5603 | Val Loss: 0.5211
+✅ Validation improved — model saved.
+
+Epoch [3/30]
+Time taken for epoch 3: 0:00:42.164324
+Train Loss: 0.5041 | Val Loss: 0.5059
+✅ Validation improved — model saved.
+
+Epoch [4/30]
+Time taken for epoch 4: 0:00:42.141011
+Train Loss: 0.4734 | Val Loss: 0.5228
+⚠️ No improvement for 1 epochs.
+
+Epoch [5/30]
+Time taken for epoch 5: 0:00:42.130260
+Train Loss: 0.4435 | Val Loss: 0.4439
+✅ Validation improved — model saved.
+
+Epoch [6/30]
+Time taken for epoch 6: 0:00:42.149992
+Train Loss: 0.4265 | Val Loss: 0.4024
+✅ Validation improved — model saved.
+
+Epoch [7/30]
+Time taken for epoch 7: 0:00:42.156155
+Train Loss: 0.3851 | Val Loss: 0.3961
+✅ Validation improved — model saved.
+
+Epoch [8/30]
+Time taken for epoch 8: 0:00:42.158115
+Train Loss: 0.3694 | Val Loss: 0.4259
+⚠️ No improvement for 1 epochs.
+
+Epoch [9/30]
+Time taken for epoch 9: 0:00:42.204067
+Train Loss: 0.3657 | Val Loss: 0.3578
+✅ Validation improved — model saved.
+
+Epoch [10/30]
+Time taken for epoch 10: 0:00:42.191173
+Train Loss: 0.3360 | Val Loss: 0.4399
+⚠️ No improvement for 1 epochs.
+
+Epoch [11/30]
+Time taken for epoch 11: 0:00:42.143924
+Train Loss: 0.3231 | Val Loss: 0.3483
+✅ Validation improved — model saved.
+
+Epoch [12/30]
+Time taken for epoch 12: 0:00:42.138028
+Train Loss: 0.3126 | Val Loss: 0.3359
+✅ Validation improved — model saved.
+
+Epoch [13/30]
+Time taken for epoch 13: 0:00:42.148575
+Train Loss: 0.2969 | Val Loss: 0.3537
+⚠️ No improvement for 1 epochs.
+
+Epoch [14/30]
+Time taken for epoch 14: 0:00:42.145657
+Train Loss: 0.2835 | Val Loss: 0.2956
+✅ Validation improved — model saved.
+
+Epoch [15/30]
+Time taken for epoch 15: 0:00:42.166805
+Train Loss: 0.2754 | Val Loss: 0.3219
+⚠️ No improvement for 1 epochs.
+
+Epoch [16/30]
+Time taken for epoch 16: 0:00:42.201696
+Train Loss: 0.2591 | Val Loss: 0.3877
+⚠️ No improvement for 2 epochs.
+
+Epoch [17/30]
+Time taken for epoch 17: 0:00:42.223271
+Train Loss: 0.2509 | Val Loss: 0.2963
+⚠️ No improvement for 3 epochs.
+
+Epoch [18/30]
+Time taken for epoch 18: 0:00:42.165095
+Train Loss: 0.2442 | Val Loss: 0.3683
+⚠️ No improvement for 4 epochs.
+
+Epoch [19/30]
+Time taken for epoch 19: 0:00:42.150570
+Train Loss: 0.2158 | Val Loss: 0.2688
+✅ Validation improved — model saved.
+
+Epoch [20/30]
+Time taken for epoch 20: 0:00:42.169626
+Train Loss: 0.1949 | Val Loss: 0.2692
+⚠️ No improvement for 1 epochs.
+
+Epoch [21/30]
+Time taken for epoch 21: 0:00:42.176523
+Train Loss: 0.1842 | Val Loss: 0.2668
+✅ Validation improved — model saved.
+
+Epoch [22/30]
+Time taken for epoch 22: 0:00:42.203986
+Train Loss: 0.1775 | Val Loss: 0.2602
+✅ Validation improved — model saved.
+
+Epoch [23/30]
+Time taken for epoch 23: 0:00:42.170539
+Train Loss: 0.1689 | Val Loss: 0.2711
+⚠️ No improvement for 1 epochs.
+
+Epoch [24/30]
+Time taken for epoch 24: 0:00:42.147949
+Train Loss: 0.1648 | Val Loss: 0.2704
+⚠️ No improvement for 2 epochs.
+
+Epoch [25/30]
+Time taken for epoch 25: 0:00:42.177936
+Train Loss: 0.1593 | Val Loss: 0.2705
+⚠️ No improvement for 3 epochs.
+
+Epoch [26/30]
+Time taken for epoch 26: 0:00:42.150470
+Train Loss: 0.1553 | Val Loss: 0.2789
+⚠️ No improvement for 4 epochs.
+
+Epoch [27/30]
+Time taken for epoch 27: 0:00:42.179764
+Train Loss: 0.1469 | Val Loss: 0.2732
+⚠️ No improvement for 5 epochs.
+
+Epoch [28/30]
+Time taken for epoch 28: 0:00:42.197436
+Train Loss: 0.1467 | Val Loss: 0.2747
+⚠️ No improvement for 6 epochs.
+
+Epoch [29/30]
+Time taken for epoch 29: 0:00:42.214138
+Train Loss: 0.1460 | Val Loss: 0.2756
+⚠️ No improvement for 7 epochs.
+⛔ Early stopping triggered.

unet_epochs30_batch32_lr0.0015.log

@@ -0,0 +1,158 @@
+nohup: ignoring input
+PyTorch version: 2.7.0+cu128
+CUDA available: True
+CUDA version: 12.8
+GPU: NVIDIA GeForce RTX 4090
+sigmoid disabled
+checkpoint_path: checkpoints/unet_epochs30_batch32_lr0.0015
+
+Epoch [1/30]
+Time taken for epoch 1: 0:00:43.035586
+Train Loss: 0.7250 | Val Loss: 0.6574
+✅ Validation improved — model saved.
+
+Epoch [2/30]
+Time taken for epoch 2: 0:00:42.009461
+Train Loss: 0.5883 | Val Loss: 0.5594
+✅ Validation improved — model saved.
+
+Epoch [3/30]
+Time taken for epoch 3: 0:00:42.119111
+Train Loss: 0.5322 | Val Loss: 0.5302
+✅ Validation improved — model saved.
+
+Epoch [4/30]
+Time taken for epoch 4: 0:00:42.316585
+Train Loss: 0.4971 | Val Loss: 0.4711
+✅ Validation improved — model saved.
+
+Epoch [5/30]
+Time taken for epoch 5: 0:00:42.369174
+Train Loss: 0.4637 | Val Loss: 0.4686
+✅ Validation improved — model saved.
+
+Epoch [6/30]
+Time taken for epoch 6: 0:00:42.353129
+Train Loss: 0.4400 | Val Loss: 0.5063
+⚠️ No improvement for 1 epochs.
+
+Epoch [7/30]
+Time taken for epoch 7: 0:00:42.380148
+Train Loss: 0.4252 | Val Loss: 0.4904
+⚠️ No improvement for 2 epochs.
+
+Epoch [8/30]
+Time taken for epoch 8: 0:00:42.385585
+Train Loss: 0.4041 | Val Loss: 0.4677
+✅ Validation improved — model saved.
+
+Epoch [9/30]
+Time taken for epoch 9: 0:00:42.416812
+Train Loss: 0.3862 | Val Loss: 0.4866
+⚠️ No improvement for 1 epochs.
+
+Epoch [10/30]
+Time taken for epoch 10: 0:00:42.357441
+Train Loss: 0.3748 | Val Loss: 0.3769
+✅ Validation improved — model saved.
+
+Epoch [11/30]
+Time taken for epoch 11: 0:00:42.363413
+Train Loss: 0.3546 | Val Loss: 0.4630
+⚠️ No improvement for 1 epochs.
+
+Epoch [12/30]
+Time taken for epoch 12: 0:00:42.337634
+Train Loss: 0.3410 | Val Loss: 0.3513
+✅ Validation improved — model saved.
+
+Epoch [13/30]
+Time taken for epoch 13: 0:00:42.320807
+Train Loss: 0.3152 | Val Loss: 0.3608
+⚠️ No improvement for 1 epochs.
+
+Epoch [14/30]
+Time taken for epoch 14: 0:00:42.343854
+Train Loss: 0.3013 | Val Loss: 0.3336
+✅ Validation improved — model saved.
+
+Epoch [15/30]
+Time taken for epoch 15: 0:00:42.408566
+Train Loss: 0.2867 | Val Loss: 0.3303
+✅ Validation improved — model saved.
+
+Epoch [16/30]
+Time taken for epoch 16: 0:00:42.411924
+Train Loss: 0.2719 | Val Loss: 0.3228
+✅ Validation improved — model saved.
+
+Epoch [17/30]
+Time taken for epoch 17: 0:00:42.414386
+Train Loss: 0.2559 | Val Loss: 0.3491
+⚠️ No improvement for 1 epochs.
+
+Epoch [18/30]
+Time taken for epoch 18: 0:00:42.367486
+Train Loss: 0.2507 | Val Loss: 0.3233
+⚠️ No improvement for 2 epochs.
+
+Epoch [19/30]
+Time taken for epoch 19: 0:00:42.376158
+Train Loss: 0.2317 | Val Loss: 0.3347
+⚠️ No improvement for 3 epochs.
+
+Epoch [20/30]
+Time taken for epoch 20: 0:00:42.338532
+Train Loss: 0.2170 | Val Loss: 0.3206
+✅ Validation improved — model saved.
+
+Epoch [21/30]
+Time taken for epoch 21: 0:00:42.381323
+Train Loss: 0.2116 | Val Loss: 0.3306
+⚠️ No improvement for 1 epochs.
+
+Epoch [22/30]
+Time taken for epoch 22: 0:00:42.368303
+Train Loss: 0.2051 | Val Loss: 0.3599
+⚠️ No improvement for 2 epochs.
+
+Epoch [23/30]
+Time taken for epoch 23: 0:00:42.343645
+Train Loss: 0.1903 | Val Loss: 0.3126
+✅ Validation improved — model saved.
+
+Epoch [24/30]
+Time taken for epoch 24: 0:00:42.375118
+Train Loss: 0.1816 | Val Loss: 0.3191
+⚠️ No improvement for 1 epochs.
+
+Epoch [25/30]
+Time taken for epoch 25: 0:00:42.332007
+Train Loss: 0.1795 | Val Loss: 0.3459
+⚠️ No improvement for 2 epochs.
+
+Epoch [26/30]
+Time taken for epoch 26: 0:00:42.389358
+Train Loss: 0.1655 | Val Loss: 0.3522
+⚠️ No improvement for 3 epochs.
+
+Epoch [27/30]
+Time taken for epoch 27: 0:00:42.353115
+Train Loss: 0.1620 | Val Loss: 0.3340
+⚠️ No improvement for 4 epochs.
+
+Epoch [28/30]
+Time taken for epoch 28: 0:00:42.356037
+Train Loss: 0.1431 | Val Loss: 0.3156
+⚠️ No improvement for 5 epochs.
+
+Epoch [29/30]
+Time taken for epoch 29: 0:00:42.376427
+Train Loss: 0.1313 | Val Loss: 0.3157
+⚠️ No improvement for 6 epochs.
+
+Epoch [30/30]
+Time taken for epoch 30: 0:00:42.336141
+Train Loss: 0.1226 | Val Loss: 0.3164
+⚠️ No improvement for 7 epochs.
+⛔ Early stopping triggered.

unet_epochs30_batch32_lr0.001_figshare_preprocess.log

@@ -0,0 +1,186 @@
+nohup: ignoring input
+wandb: Currently logged in as: kaijun123 (kaijun123-nanyang-technological-university-singapore) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
+wandb: setting up run zy99napl
+wandb: Tracking run with wandb version 0.22.3
+wandb: Run data is saved locally in /home/kaijun/CE6190---Image-Segmentation/wandb/run-20251110_185725-zy99napl
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run unet_epochs30_batch32_lr0.001_figshare_preprocess
+wandb: ⭐️ View project at https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation
+wandb: 🚀 View run at https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation/runs/zy99napl
+wandb: updating run metadata
+wandb: uploading output.log; uploading wandb-summary.json
+wandb: uploading wandb-summary.json; uploading config.yaml
+wandb: uploading history steps 29-29, summary, console lines 147-149
+wandb: 
+wandb: Run history:
+wandb:     epochs ▁▁▁▂▂▂▂▃▃▃▃▄▄▄▄▅▅▅▅▆▆▆▆▇▇▇▇███
+wandb: train_loss █▄▃▃▃▂▂▂▂▂▂▂▂▁▁▁▂▂▂▁▁▁▁▁▁▁▁▁▁▁
+wandb:   val_loss █▆▃▄▅▄▃▄▃▄▂▂▂▂▂▁▃▃▂▂▁▂▁▁▁▁▁▁▁▁
+wandb: 
+wandb: Run summary:
+wandb:     epochs 30
+wandb: train_loss 0.07781
+wandb:   val_loss 0.16863
+wandb: 
+wandb: 🚀 View run unet_epochs30_batch32_lr0.001_figshare_preprocess at: https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation/runs/zy99napl
+wandb: ⭐️ View project at: https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation
+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-20251110_185725-zy99napl/logs
+PyTorch version: 2.7.0+cu128
+CUDA available: True
+CUDA version: 12.8
+GPU: NVIDIA GeForce RTX 4090
+sigmoid disabled
+checkpoint_path: checkpoints/unet_epochs30_batch32_lr0.001_figshare_preprocess
+split: train data_split_path: figshare_preprocessed/data_split.json
+split: valid data_split_path: figshare_preprocessed/data_split.json
+
+Epoch [1/30]
+Time taken for epoch 1: 0:00:25.245051
+Train Loss: 0.6771 | Val Loss: 0.4430
+✅ Validation improved — model saved.
+
+Epoch [2/30]
+Time taken for epoch 2: 0:00:24.535809
+Train Loss: 0.3119 | Val Loss: 0.3564
+✅ Validation improved — model saved.
+
+Epoch [3/30]
+Time taken for epoch 3: 0:00:24.538127
+Train Loss: 0.2527 | Val Loss: 0.2408
+✅ Validation improved — model saved.
+
+Epoch [4/30]
+Time taken for epoch 4: 0:00:24.545072
+Train Loss: 0.2150 | Val Loss: 0.2956
+⚠️ No improvement for 1 epochs.
+
+Epoch [5/30]
+Time taken for epoch 5: 0:00:24.521895
+Train Loss: 0.2071 | Val Loss: 0.3041
+⚠️ No improvement for 2 epochs.
+
+Epoch [6/30]
+Time taken for epoch 6: 0:00:24.513282
+Train Loss: 0.2008 | Val Loss: 0.2816
+⚠️ No improvement for 3 epochs.
+
+Epoch [7/30]
+Time taken for epoch 7: 0:00:24.548300
+Train Loss: 0.1881 | Val Loss: 0.2340
+✅ Validation improved — model saved.
+
+Epoch [8/30]
+Time taken for epoch 8: 0:00:24.539046
+Train Loss: 0.1913 | Val Loss: 0.2713
+⚠️ No improvement for 1 epochs.
+
+Epoch [9/30]
+Time taken for epoch 9: 0:00:24.630774
+Train Loss: 0.1909 | Val Loss: 0.2169
+✅ Validation improved — model saved.
+
+Epoch [10/30]
+Time taken for epoch 10: 0:00:24.835839
+Train Loss: 0.1662 | Val Loss: 0.2629
+⚠️ No improvement for 1 epochs.
+
+Epoch [11/30]
+Time taken for epoch 11: 0:00:24.544666
+Train Loss: 0.1473 | Val Loss: 0.1893
+✅ Validation improved — model saved.
+
+Epoch [12/30]
+Time taken for epoch 12: 0:00:24.523512
+Train Loss: 0.1345 | Val Loss: 0.1788
+✅ Validation improved — model saved.
+
+Epoch [13/30]
+Time taken for epoch 13: 0:00:24.550038
+Train Loss: 0.1272 | Val Loss: 0.1882
+⚠️ No improvement for 1 epochs.
+
+Epoch [14/30]
+Time taken for epoch 14: 0:00:24.568155
+Train Loss: 0.1203 | Val Loss: 0.1851
+⚠️ No improvement for 2 epochs.
+
+Epoch [15/30]
+Time taken for epoch 15: 0:00:24.523504
+Train Loss: 0.1163 | Val Loss: 0.1881
+⚠️ No improvement for 3 epochs.
+
+Epoch [16/30]
+Time taken for epoch 16: 0:00:24.561030
+Train Loss: 0.1100 | Val Loss: 0.1742
+✅ Validation improved — model saved.
+
+Epoch [17/30]
+Time taken for epoch 17: 0:00:24.583794
+Train Loss: 0.1321 | Val Loss: 0.2474
+⚠️ No improvement for 1 epochs.
+
+Epoch [18/30]
+Time taken for epoch 18: 0:00:24.540402
+Train Loss: 0.1379 | Val Loss: 0.2445
+⚠️ No improvement for 2 epochs.
+
+Epoch [19/30]
+Time taken for epoch 19: 0:00:24.514984
+Train Loss: 0.1210 | Val Loss: 0.1928
+⚠️ No improvement for 3 epochs.
+
+Epoch [20/30]
+Time taken for epoch 20: 0:00:24.541848
+Train Loss: 0.1132 | Val Loss: 0.1753
+⚠️ No improvement for 4 epochs.
+
+Epoch [21/30]
+Time taken for epoch 21: 0:00:24.578071
+Train Loss: 0.0964 | Val Loss: 0.1592
+✅ Validation improved — model saved.
+
+Epoch [22/30]
+Time taken for epoch 22: 0:00:24.545045
+Train Loss: 0.0906 | Val Loss: 0.1774
+⚠️ No improvement for 1 epochs.
+
+Epoch [23/30]
+Time taken for epoch 23: 0:00:24.577851
+Train Loss: 0.0873 | Val Loss: 0.1591
+✅ Validation improved — model saved.
+
+Epoch [24/30]
+Time taken for epoch 24: 0:00:24.609731
+Train Loss: 0.0851 | Val Loss: 0.1644
+⚠️ No improvement for 1 epochs.
+
+Epoch [25/30]
+Time taken for epoch 25: 0:00:24.544784
+Train Loss: 0.0832 | Val Loss: 0.1546
+✅ Validation improved — model saved.
+
+Epoch [26/30]
+Time taken for epoch 26: 0:00:24.544042
+Train Loss: 0.0825 | Val Loss: 0.1558
+⚠️ No improvement for 1 epochs.
+
+Epoch [27/30]
+Time taken for epoch 27: 0:00:24.557742
+Train Loss: 0.0831 | Val Loss: 0.1617
+⚠️ No improvement for 2 epochs.
+
+Epoch [28/30]
+Time taken for epoch 28: 0:00:24.537817
+Train Loss: 0.0807 | Val Loss: 0.1623
+⚠️ No improvement for 3 epochs.
+
+Epoch [29/30]
+Time taken for epoch 29: 0:00:24.574384
+Train Loss: 0.0788 | Val Loss: 0.1661
+⚠️ No improvement for 4 epochs.
+
+Epoch [30/30]
+Time taken for epoch 30: 0:00:24.525882
+Train Loss: 0.0778 | Val Loss: 0.1686
+⚠️ No improvement for 5 epochs.

unet_epochs30_batch32_lr0.001_freeze_encoder_epochs20_batch32_lr0.005.log

@@ -0,0 +1,105 @@
+nohup: ignoring input
+wandb: Currently logged in as: kaijun123 (kaijun123-nanyang-technological-university-singapore) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
+wandb: setting up run t2gz18kk
+wandb: Tracking run with wandb version 0.22.3
+wandb: Run data is saved locally in /home/kaijun/CE6190---Image-Segmentation/wandb/run-20251111_141336-t2gz18kk
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run unet_epochs30_batch32_lr0.001_freeze_encoder_epochs20_batch32_lr0.005
+wandb: ⭐️ View project at https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation
+wandb: 🚀 View run at https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation/runs/t2gz18kk
+wandb: updating run metadata
+wandb: uploading wandb-summary.json; uploading output.log
+wandb: uploading wandb-summary.json; uploading output.log; uploading config.yaml; uploading history steps 12-12, summary, console lines 62-65
+wandb: uploading wandb-summary.json; uploading output.log; uploading config.yaml
+wandb: uploading wandb-summary.json; uploading config.yaml
+wandb: uploading data
+wandb: 
+wandb: Run history:
+wandb:     epochs ▁▂▂▃▃▄▅▅▆▆▇▇█
+wandb: train_loss █▅▅▄▄▄▃▃▃▃▂▁▁
+wandb:   val_loss ▇▅▁▅▅▁▅█▂█▃▄▃
+wandb: 
+wandb: Run summary:
+wandb:     epochs 13
+wandb: train_loss 0.13112
+wandb:   val_loss 0.273
+wandb: 
+wandb: 🚀 View run unet_epochs30_batch32_lr0.001_freeze_encoder_epochs20_batch32_lr0.005 at: https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation/runs/t2gz18kk
+wandb: ⭐️ View project at: https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation
+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-20251111_141336-t2gz18kk/logs
+PyTorch version: 2.7.0+cu128
+CUDA available: True
+CUDA version: 12.8
+GPU: NVIDIA GeForce RTX 4090
+Loading weights from local directory
+freeze encoder
+checkpoint_path: checkpoints/unet_epochs30_batch32_lr0.001_freeze_encoder_epochs20_batch32_lr0.005
+split: train data_split_path: combined_data_split.json
+split: valid data_split_path: combined_data_split.json
+
+Epoch [1/20]
+Time taken for epoch 1: 0:01:02.609510
+Train Loss: 0.1681 | Val Loss: 0.2832
+✅ Validation improved — model saved.
+
+Epoch [2/20]
+Time taken for epoch 2: 0:01:00.957051
+Train Loss: 0.1535 | Val Loss: 0.2777
+✅ Validation improved — model saved.
+
+Epoch [3/20]
+Time taken for epoch 3: 0:01:00.259887
+Train Loss: 0.1505 | Val Loss: 0.2684
+✅ Validation improved — model saved.
+
+Epoch [4/20]
+Time taken for epoch 4: 0:01:01.074658
+Train Loss: 0.1488 | Val Loss: 0.2785
+⚠️ No improvement for 1 epochs.
+
+Epoch [5/20]
+Time taken for epoch 5: 0:01:01.501208
+Train Loss: 0.1474 | Val Loss: 0.2783
+⚠️ No improvement for 2 epochs.
+
+Epoch [6/20]
+Time taken for epoch 6: 0:01:01.322478
+Train Loss: 0.1456 | Val Loss: 0.2683
+✅ Validation improved — model saved.
+
+Epoch [7/20]
+Time taken for epoch 7: 0:01:01.486441
+Train Loss: 0.1436 | Val Loss: 0.2781
+⚠️ No improvement for 1 epochs.
+
+Epoch [8/20]
+Time taken for epoch 8: 0:01:01.507692
+Train Loss: 0.1421 | Val Loss: 0.2840
+⚠️ No improvement for 2 epochs.
+
+Epoch [9/20]
+Time taken for epoch 9: 0:01:01.640441
+Train Loss: 0.1409 | Val Loss: 0.2717
+⚠️ No improvement for 3 epochs.
+
+Epoch [10/20]
+Time taken for epoch 10: 0:01:01.018847
+Train Loss: 0.1402 | Val Loss: 0.2848
+⚠️ No improvement for 4 epochs.
+
+Epoch [11/20]
+Time taken for epoch 11: 0:01:01.497435
+Train Loss: 0.1338 | Val Loss: 0.2739
+⚠️ No improvement for 5 epochs.
+
+Epoch [12/20]
+Time taken for epoch 12: 0:00:58.877680
+Train Loss: 0.1323 | Val Loss: 0.2748
+⚠️ No improvement for 6 epochs.
+
+Epoch [13/20]
+Time taken for epoch 13: 0:01:00.537987
+Train Loss: 0.1311 | Val Loss: 0.2730
+⚠️ No improvement for 7 epochs.
+⛔ Early stopping triggered.

unet_epochs30_batch32_lr0.001_freeze_encoder_epochs30_batch32_lr0.001.log

@@ -0,0 +1,144 @@
+nohup: ignoring input
+wandb: Currently logged in as: kaijun123 (kaijun123-nanyang-technological-university-singapore) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
+wandb: setting up run 6spl7gwh
+wandb: Tracking run with wandb version 0.22.3
+wandb: Run data is saved locally in /home/kaijun/CE6190---Image-Segmentation/wandb/run-20251111_000302-6spl7gwh
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run unet_epochs30_batch32_lr0.001_freeze_encoder_epochs30_batch32_lr0.001
+wandb: ⭐️ View project at https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation
+wandb: 🚀 View run at https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation/runs/6spl7gwh
+wandb: updating run metadata
+wandb: uploading output.log; uploading wandb-summary.json
+wandb: uploading output.log; uploading wandb-summary.json; uploading config.yaml
+wandb: uploading output.log; uploading wandb-summary.json
+wandb: uploading history steps 20-20, summary, console lines 102-105
+wandb: 
+wandb: Run history:
+wandb:     epochs ▁▁▂▂▂▃▃▃▄▄▅▅▅▆▆▆▇▇▇██
+wandb: train_loss ██▇▇█▆▆▅▅▅▅▅▄▄▄▄▄▃▂▁▁
+wandb:   val_loss ▃▃▃▃▅▆▂▂▅▆▂█▃▁▂▄▄▂▃▃▄
+wandb: 
+wandb: Run summary:
+wandb:     epochs 21
+wandb: train_loss 0.12465
+wandb:   val_loss 0.2755
+wandb: 
+wandb: 🚀 View run unet_epochs30_batch32_lr0.001_freeze_encoder_epochs30_batch32_lr0.001 at: https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation/runs/6spl7gwh
+wandb: ⭐️ View project at: https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation
+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-20251111_000302-6spl7gwh/logs
+PyTorch version: 2.7.0+cu128
+CUDA available: True
+CUDA version: 12.8
+GPU: NVIDIA GeForce RTX 4090
+Loading weights from local directory
+freeze encoder
+checkpoint_path: checkpoints/unet_epochs30_batch32_lr0.001_freeze_encoder_epochs30_batch32_lr0.001
+split: train data_split_path: combined_data_split.json
+split: valid data_split_path: combined_data_split.json
+
+Epoch [1/30]
+Time taken for epoch 1: 0:00:30.485078
+Train Loss: 0.1490 | Val Loss: 0.2743
+✅ Validation improved — model saved.
+
+Epoch [2/30]
+Time taken for epoch 2: 0:00:29.358091
+Train Loss: 0.1479 | Val Loss: 0.2744
+⚠️ No improvement for 1 epochs.
+
+Epoch [3/30]
+Time taken for epoch 3: 0:00:29.325511
+Train Loss: 0.1464 | Val Loss: 0.2746
+⚠️ No improvement for 2 epochs.
+
+Epoch [4/30]
+Time taken for epoch 4: 0:00:29.550897
+Train Loss: 0.1444 | Val Loss: 0.2723
+✅ Validation improved — model saved.
+
+Epoch [5/30]
+Time taken for epoch 5: 0:00:30.235633
+Train Loss: 0.1492 | Val Loss: 0.2782
+⚠️ No improvement for 1 epochs.
+
+Epoch [6/30]
+Time taken for epoch 6: 0:00:30.045303
+Train Loss: 0.1432 | Val Loss: 0.2798
+⚠️ No improvement for 2 epochs.
+
+Epoch [7/30]
+Time taken for epoch 7: 0:00:30.027648
+Train Loss: 0.1406 | Val Loss: 0.2718
+✅ Validation improved — model saved.
+
+Epoch [8/30]
+Time taken for epoch 8: 0:00:29.842414
+Train Loss: 0.1393 | Val Loss: 0.2716
+✅ Validation improved — model saved.
+
+Epoch [9/30]
+Time taken for epoch 9: 0:00:29.536086
+Train Loss: 0.1389 | Val Loss: 0.2786
+⚠️ No improvement for 1 epochs.
+
+Epoch [10/30]
+Time taken for epoch 10: 0:00:29.464946
+Train Loss: 0.1386 | Val Loss: 0.2797
+⚠️ No improvement for 2 epochs.
+
+Epoch [11/30]
+Time taken for epoch 11: 0:00:29.483013
+Train Loss: 0.1370 | Val Loss: 0.2704
+✅ Validation improved — model saved.
+
+Epoch [12/30]
+Time taken for epoch 12: 0:00:29.445689
+Train Loss: 0.1370 | Val Loss: 0.2860
+⚠️ No improvement for 1 epochs.
+
+Epoch [13/30]
+Time taken for epoch 13: 0:00:29.331030
+Train Loss: 0.1359 | Val Loss: 0.2736
+⚠️ No improvement for 2 epochs.
+
+Epoch [14/30]
+Time taken for epoch 14: 0:00:29.328438
+Train Loss: 0.1353 | Val Loss: 0.2683
+✅ Validation improved — model saved.
+
+Epoch [15/30]
+Time taken for epoch 15: 0:00:29.422292
+Train Loss: 0.1356 | Val Loss: 0.2698
+⚠️ No improvement for 1 epochs.
+
+Epoch [16/30]
+Time taken for epoch 16: 0:00:29.363035
+Train Loss: 0.1348 | Val Loss: 0.2771
+⚠️ No improvement for 2 epochs.
+
+Epoch [17/30]
+Time taken for epoch 17: 0:00:29.363021
+Train Loss: 0.1352 | Val Loss: 0.2749
+⚠️ No improvement for 3 epochs.
+
+Epoch [18/30]
+Time taken for epoch 18: 0:00:29.335649
+Train Loss: 0.1319 | Val Loss: 0.2716
+⚠️ No improvement for 4 epochs.
+
+Epoch [19/30]
+Time taken for epoch 19: 0:00:29.312675
+Train Loss: 0.1266 | Val Loss: 0.2734
+⚠️ No improvement for 5 epochs.
+
+Epoch [20/30]
+Time taken for epoch 20: 0:00:29.372358
+Train Loss: 0.1257 | Val Loss: 0.2737
+⚠️ No improvement for 6 epochs.
+
+Epoch [21/30]
+Time taken for epoch 21: 0:00:29.343112
+Train Loss: 0.1246 | Val Loss: 0.2755
+⚠️ No improvement for 7 epochs.
+⛔ Early stopping triggered.

unet_epochs30_batch32_lr0.001_loglossTrue.log

@@ -0,0 +1,188 @@
+nohup: ignoring input
+wandb: Currently logged in as: kaijun123 (kaijun123-nanyang-technological-university-singapore) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
+wandb: setting up run tloron2v
+wandb: Tracking run with wandb version 0.22.3
+wandb: Run data is saved locally in /home/kaijun/CE6190---Image-Segmentation/wandb/run-20251110_181653-tloron2v
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run unet_epochs30_batch32_lr0.001_loglossTrue
+wandb: ⭐️ View project at https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation
+wandb: 🚀 View run at https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation/runs/tloron2v
+wandb: updating run metadata
+wandb: uploading output.log; uploading wandb-summary.json
+wandb: uploading wandb-summary.json; uploading config.yaml
+wandb: uploading history steps 29-29, summary, console lines 147-150
+wandb: 
+wandb: Run history:
+wandb:     epochs ▁▁▁▂▂▂▂▃▃▃▃▄▄▄▄▅▅▅▅▆▆▆▆▇▇▇▇███
+wandb: train_loss █▄▄▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁▁▁▁
+wandb:   val_loss █▄▃▂▃▂▂▂▂▂▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
+wandb: 
+wandb: Run summary:
+wandb:     epochs 30
+wandb: train_loss 0.14168
+wandb:   val_loss 0.32459
+wandb: 
+wandb: 🚀 View run unet_epochs30_batch32_lr0.001_loglossTrue at: https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation/runs/tloron2v
+wandb: ⭐️ View project at: https://wandb.ai/kaijun123-nanyang-technological-university-singapore/ce6190-semantic-segmentation
+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-20251110_181653-tloron2v/logs
+PyTorch version: 2.7.0+cu128
+CUDA available: True
+CUDA version: 12.8
+GPU: NVIDIA GeForce RTX 4090
+sigmoid disabled
+loss_fn log_loss: True
+checkpoint_path: checkpoints/unet_epochs30_batch32_lr0.001_loglossTrue
+split: train data_split_path: combined_data_split.json
+split: valid data_split_path: combined_data_split.json
+
+Epoch [1/30]
+Time taken for epoch 1: 0:00:42.803687
+Train Loss: 1.5506 | Val Loss: 1.4750
+✅ Validation improved — model saved.
+
+Epoch [2/30]
+Time taken for epoch 2: 0:00:41.725235
+Train Loss: 0.7892 | Val Loss: 0.8678
+✅ Validation improved — model saved.
+
+Epoch [3/30]
+Time taken for epoch 3: 0:00:43.323791
+Train Loss: 0.6749 | Val Loss: 0.6256
+✅ Validation improved — model saved.
+
+Epoch [4/30]
+Time taken for epoch 4: 0:00:41.882186
+Train Loss: 0.6081 | Val Loss: 0.5085
+✅ Validation improved — model saved.
+
+Epoch [5/30]
+Time taken for epoch 5: 0:00:41.828401
+Train Loss: 0.5765 | Val Loss: 0.5889
+⚠️ No improvement for 1 epochs.
+
+Epoch [6/30]
+Time taken for epoch 6: 0:00:42.168842
+Train Loss: 0.5159 | Val Loss: 0.5590
+⚠️ No improvement for 2 epochs.
+
+Epoch [7/30]
+Time taken for epoch 7: 0:00:42.150284
+Train Loss: 0.4775 | Val Loss: 0.4829
+✅ Validation improved — model saved.
+
+Epoch [8/30]
+Time taken for epoch 8: 0:00:42.615359
+Train Loss: 0.4685 | Val Loss: 0.4615
+✅ Validation improved — model saved.
+
+Epoch [9/30]
+Time taken for epoch 9: 0:00:42.108275
+Train Loss: 0.4206 | Val Loss: 0.4100
+✅ Validation improved — model saved.
+
+Epoch [10/30]
+Time taken for epoch 10: 0:00:42.083122
+Train Loss: 0.4102 | Val Loss: 0.4860
+⚠️ No improvement for 1 epochs.
+
+Epoch [11/30]
+Time taken for epoch 11: 0:00:41.914494
+Train Loss: 0.3849 | Val Loss: 0.3863
+✅ Validation improved — model saved.
+
+Epoch [12/30]
+Time taken for epoch 12: 0:00:41.899065
+Train Loss: 0.3724 | Val Loss: 0.3726
+✅ Validation improved — model saved.
+
+Epoch [13/30]
+Time taken for epoch 13: 0:00:41.865987
+Train Loss: 0.3548 | Val Loss: 0.4922
+⚠️ No improvement for 1 epochs.
+
+Epoch [14/30]
+Time taken for epoch 14: 0:00:42.502191
+Train Loss: 0.3301 | Val Loss: 0.3736
+⚠️ No improvement for 2 epochs.
+
+Epoch [15/30]
+Time taken for epoch 15: 0:00:42.039146
+Train Loss: 0.3201 | Val Loss: 0.3700
+✅ Validation improved — model saved.
+
+Epoch [16/30]
+Time taken for epoch 16: 0:00:42.558220
+Train Loss: 0.2964 | Val Loss: 0.3731
+⚠️ No improvement for 1 epochs.
+
+Epoch [17/30]
+Time taken for epoch 17: 0:00:41.677247
+Train Loss: 0.2873 | Val Loss: 0.3438
+✅ Validation improved — model saved.
+
+Epoch [18/30]
+Time taken for epoch 18: 0:00:41.744951
+Train Loss: 0.2783 | Val Loss: 0.3603
+⚠️ No improvement for 1 epochs.
+
+Epoch [19/30]
+Time taken for epoch 19: 0:00:41.804037
+Train Loss: 0.2565 | Val Loss: 0.3598
+⚠️ No improvement for 2 epochs.
+
+Epoch [20/30]
+Time taken for epoch 20: 0:00:42.401755
+Train Loss: 0.2383 | Val Loss: 0.3924
+⚠️ No improvement for 3 epochs.
+
+Epoch [21/30]
+Time taken for epoch 21: 0:00:42.078392
+Train Loss: 0.2355 | Val Loss: 0.3562
+⚠️ No improvement for 4 epochs.
+
+Epoch [22/30]
+Time taken for epoch 22: 0:00:41.885645
+Train Loss: 0.1980 | Val Loss: 0.3224
+✅ Validation improved — model saved.
+
+Epoch [23/30]
+Time taken for epoch 23: 0:00:41.761612
+Train Loss: 0.1798 | Val Loss: 0.3134
+✅ Validation improved — model saved.
+
+Epoch [24/30]
+Time taken for epoch 24: 0:00:42.195898
+Train Loss: 0.1695 | Val Loss: 0.3180
+⚠️ No improvement for 1 epochs.
+
+Epoch [25/30]
+Time taken for epoch 25: 0:00:42.152904
+Train Loss: 0.1617 | Val Loss: 0.3190
+⚠️ No improvement for 2 epochs.
+
+Epoch [26/30]
+Time taken for epoch 26: 0:00:41.827357
+Train Loss: 0.1553 | Val Loss: 0.3225
+⚠️ No improvement for 3 epochs.
+
+Epoch [27/30]
+Time taken for epoch 27: 0:00:41.814583
+Train Loss: 0.1503 | Val Loss: 0.3282
+⚠️ No improvement for 4 epochs.
+
+Epoch [28/30]
+Time taken for epoch 28: 0:00:41.907791
+Train Loss: 0.1441 | Val Loss: 0.3238
+⚠️ No improvement for 5 epochs.
+
+Epoch [29/30]
+Time taken for epoch 29: 0:00:42.636240
+Train Loss: 0.1426 | Val Loss: 0.3267
+⚠️ No improvement for 6 epochs.
+
+Epoch [30/30]
+Time taken for epoch 30: 0:00:42.123800
+Train Loss: 0.1417 | Val Loss: 0.3246
+⚠️ No improvement for 7 epochs.
+⛔ Early stopping triggered.

unet_epochs30_batch32_lr0.002.log

@@ -0,0 +1,158 @@
+nohup: ignoring input
+PyTorch version: 2.7.0+cu128
+CUDA available: True
+CUDA version: 12.8
+GPU: NVIDIA GeForce RTX 4090
+sigmoid disabled
+checkpoint_path: checkpoints/unet_epochs30_batch32_lr0.002
+
+Epoch [1/30]
+Time taken for epoch 1: 0:01:07.321107
+Train Loss: 0.7515 | Val Loss: 0.7349
+✅ Validation improved — model saved.
+
+Epoch [2/30]
+Time taken for epoch 2: 0:00:41.725214
+Train Loss: 0.6366 | Val Loss: 0.6584
+✅ Validation improved — model saved.
+
+Epoch [3/30]
+Time taken for epoch 3: 0:00:41.741561
+Train Loss: 0.5936 | Val Loss: 0.7509
+⚠️ No improvement for 1 epochs.
+
+Epoch [4/30]
+Time taken for epoch 4: 0:00:41.705633
+Train Loss: 0.5622 | Val Loss: 0.5722
+✅ Validation improved — model saved.
+
+Epoch [5/30]
+Time taken for epoch 5: 0:00:41.747515
+Train Loss: 0.5302 | Val Loss: 0.4825
+✅ Validation improved — model saved.
+
+Epoch [6/30]
+Time taken for epoch 6: 0:00:41.629183
+Train Loss: 0.5009 | Val Loss: 0.4922
+⚠️ No improvement for 1 epochs.
+
+Epoch [7/30]
+Time taken for epoch 7: 0:00:41.642311
+Train Loss: 0.4852 | Val Loss: 0.4780
+✅ Validation improved — model saved.
+
+Epoch [8/30]
+Time taken for epoch 8: 0:00:41.813184
+Train Loss: 0.4643 | Val Loss: 0.6178
+⚠️ No improvement for 1 epochs.
+
+Epoch [9/30]
+Time taken for epoch 9: 0:00:42.445445
+Train Loss: 0.4381 | Val Loss: 0.4141
+✅ Validation improved — model saved.
+
+Epoch [10/30]
+Time taken for epoch 10: 0:00:42.756022
+Train Loss: 0.4193 | Val Loss: 0.5146
+⚠️ No improvement for 1 epochs.
+
+Epoch [11/30]
+Time taken for epoch 11: 0:00:41.794892
+Train Loss: 0.4019 | Val Loss: 0.4091
+✅ Validation improved — model saved.
+
+Epoch [12/30]
+Time taken for epoch 12: 0:00:41.772372
+Train Loss: 0.3860 | Val Loss: 0.4492
+⚠️ No improvement for 1 epochs.
+
+Epoch [13/30]
+Time taken for epoch 13: 0:00:41.716402
+Train Loss: 0.3818 | Val Loss: 0.3965
+✅ Validation improved — model saved.
+
+Epoch [14/30]
+Time taken for epoch 14: 0:00:41.859875
+Train Loss: 0.3561 | Val Loss: 0.4099
+⚠️ No improvement for 1 epochs.
+
+Epoch [15/30]
+Time taken for epoch 15: 0:00:41.732123
+Train Loss: 0.3416 | Val Loss: 0.3668
+✅ Validation improved — model saved.
+
+Epoch [16/30]
+Time taken for epoch 16: 0:00:41.728876
+Train Loss: 0.3136 | Val Loss: 0.3711
+⚠️ No improvement for 1 epochs.
+
+Epoch [17/30]
+Time taken for epoch 17: 0:00:41.770381
+Train Loss: 0.3043 | Val Loss: 0.3549
+✅ Validation improved — model saved.
+
+Epoch [18/30]
+Time taken for epoch 18: 0:00:41.763336
+Train Loss: 0.2885 | Val Loss: 0.3747
+⚠️ No improvement for 1 epochs.
+
+Epoch [19/30]
+Time taken for epoch 19: 0:00:41.818925
+Train Loss: 0.2639 | Val Loss: 0.3664
+⚠️ No improvement for 2 epochs.
+
+Epoch [20/30]
+Time taken for epoch 20: 0:00:41.741736
+Train Loss: 0.2562 | Val Loss: 0.3781
+⚠️ No improvement for 3 epochs.
+
+Epoch [21/30]
+Time taken for epoch 21: 0:00:41.741983
+Train Loss: 0.2397 | Val Loss: 0.3645
+⚠️ No improvement for 4 epochs.
+
+Epoch [22/30]
+Time taken for epoch 22: 0:00:41.686538
+Train Loss: 0.2058 | Val Loss: 0.3312
+✅ Validation improved — model saved.
+
+Epoch [23/30]
+Time taken for epoch 23: 0:00:41.729279
+Train Loss: 0.1922 | Val Loss: 0.3274
+✅ Validation improved — model saved.
+
+Epoch [24/30]
+Time taken for epoch 24: 0:00:41.670759
+Train Loss: 0.1813 | Val Loss: 0.3299
+⚠️ No improvement for 1 epochs.
+
+Epoch [25/30]
+Time taken for epoch 25: 0:00:41.695230
+Train Loss: 0.1753 | Val Loss: 0.3348
+⚠️ No improvement for 2 epochs.
+
+Epoch [26/30]
+Time taken for epoch 26: 0:00:41.707373
+Train Loss: 0.1688 | Val Loss: 0.3329
+⚠️ No improvement for 3 epochs.
+
+Epoch [27/30]
+Time taken for epoch 27: 0:00:41.708740
+Train Loss: 0.1627 | Val Loss: 0.3336
+⚠️ No improvement for 4 epochs.
+
+Epoch [28/30]
+Time taken for epoch 28: 0:00:41.708981
+Train Loss: 0.1579 | Val Loss: 0.3376
+⚠️ No improvement for 5 epochs.
+
+Epoch [29/30]
+Time taken for epoch 29: 0:00:41.728628
+Train Loss: 0.1571 | Val Loss: 0.3374
+⚠️ No improvement for 6 epochs.
+
+Epoch [30/30]
+Time taken for epoch 30: 0:00:41.785874
+Train Loss: 0.1562 | Val Loss: 0.3348
+⚠️ No improvement for 7 epochs.
+⛔ Early stopping triggered.