Downloading https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gz to ./data/cifar-100-python.tar.gz
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Extracting ./data/cifar-100-python.tar.gz to ./data
Files already downloaded and verified
/content/train.py:299: FutureWarning: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead.
  scaler = GradScaler(enabled=(device=="cuda"))
Epoch 1/100
Train:   0% 0/390 [00:00<?, ?it/s]/content/train.py:173: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with autocast(dtype=amp_dtype):
Eval:   0% 0/79 [00:00<?, ?it/s]/content/train.py:207: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with autocast(dtype=amp_dtype):
  Train: loss=4.4447, acc1=3.99%, acc5=15.26%
  Val  : loss=4.2139,   acc1=7.88%, acc5=25.03%
Epoch 2/100
  Train: loss=4.1472, acc1=8.55%, acc5=27.06%
  Val  : loss=3.9672,   acc1=11.69%, acc5=33.29%
Epoch 3/100
  Train: loss=3.9594, acc1=11.60%, acc5=33.39%
  Val  : loss=3.7867,   acc1=15.53%, acc5=40.48%
Epoch 4/100
  Train: loss=3.8117, acc1=14.78%, acc5=38.85%
  Val  : loss=3.6421,   acc1=18.47%, acc5=45.10%
Epoch 5/100
  Train: loss=3.6712, acc1=17.66%, acc5=43.92%
  Val  : loss=3.5054,   acc1=21.32%, acc5=50.22%
Epoch 6/100
  Train: loss=3.5350, acc1=20.47%, acc5=48.57%
  Val  : loss=3.3712,   acc1=24.98%, acc5=53.87%
Epoch 7/100
  Train: loss=3.3904, acc1=23.73%, acc5=53.33%
  Val  : loss=3.2583,   acc1=27.43%, acc5=57.61%
Epoch 8/100
  Train: loss=3.2302, acc1=27.35%, acc5=58.33%
  Val  : loss=3.1139,   acc1=30.30%, acc5=62.19%
Epoch 9/100
  Train: loss=3.0901, acc1=30.61%, acc5=62.42%
  Val  : loss=3.0253,   acc1=32.50%, acc5=64.39%
Epoch 10/100
  Train: loss=2.9582, acc1=34.28%, acc5=66.46%
  Val  : loss=2.9080,   acc1=35.63%, acc5=67.55%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_010.png
/content/train.py:230: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.no_grad(), autocast(dtype=amp_dtype):
/content/train.py:237: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
  with torch.cuda.amp.autocast(enabled=False):
Epoch 11/100
  Train: loss=2.8395, acc1=37.24%, acc5=69.98%
  Val  : loss=2.7848,   acc1=38.59%, acc5=71.09%
Epoch 12/100
  Train: loss=2.7380, acc1=40.00%, acc5=72.40%
  Val  : loss=2.6580,   acc1=42.33%, acc5=73.81%
Epoch 13/100
  Train: loss=2.6439, acc1=42.54%, acc5=75.06%
  Val  : loss=2.5775,   acc1=44.26%, acc5=76.25%
Epoch 14/100
  Train: loss=2.5566, acc1=45.11%, acc5=76.97%
  Val  : loss=2.5137,   acc1=45.12%, acc5=77.34%
Epoch 15/100
  Train: loss=2.4751, acc1=47.51%, acc5=79.04%
  Val  : loss=2.4448,   acc1=47.70%, acc5=79.86%
Epoch 16/100
  Train: loss=2.4000, acc1=49.73%, acc5=80.75%
  Val  : loss=2.5468,   acc1=45.37%, acc5=76.18%
Epoch 17/100
  Train: loss=2.3317, acc1=51.71%, acc5=82.49%
  Val  : loss=2.4976,   acc1=46.35%, acc5=77.49%
Epoch 18/100
  Train: loss=2.2701, acc1=53.39%, acc5=83.50%
  Val  : loss=2.5066,   acc1=46.64%, acc5=76.81%
Epoch 19/100
  Train: loss=2.2198, acc1=55.05%, acc5=84.54%
  Val  : loss=2.3994,   acc1=49.13%, acc5=79.60%
Epoch 20/100
  Train: loss=2.1708, acc1=56.75%, acc5=85.63%
  Val  : loss=2.2903,   acc1=51.99%, acc5=82.17%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_020.png
Epoch 21/100
  Train: loss=2.1348, acc1=57.49%, acc5=86.34%
  Val  : loss=2.2844,   acc1=52.43%, acc5=82.28%
Epoch 22/100
  Train: loss=2.0805, acc1=59.28%, acc5=87.19%
  Val  : loss=2.2120,   acc1=54.61%, acc5=83.22%
Epoch 23/100
  Train: loss=2.0423, acc1=60.32%, acc5=87.99%
  Val  : loss=2.1832,   acc1=54.84%, acc5=84.36%
Epoch 24/100
  Train: loss=2.0058, acc1=61.50%, acc5=88.53%
  Val  : loss=2.1029,   acc1=58.09%, acc5=85.87%
Epoch 25/100
  Train: loss=1.9782, acc1=62.49%, acc5=89.06%
  Val  : loss=2.0942,   acc1=58.14%, acc5=85.98%
Epoch 26/100
  Train: loss=1.9440, acc1=63.30%, acc5=89.66%
  Val  : loss=2.1427,   acc1=56.46%, acc5=85.56%
Epoch 27/100
  Train: loss=1.9282, acc1=64.02%, acc5=89.87%
  Val  : loss=2.1803,   acc1=55.25%, acc5=84.92%
Epoch 28/100
  Train: loss=1.9024, acc1=65.04%, acc5=90.17%
  Val  : loss=2.0705,   acc1=58.99%, acc5=86.39%
Epoch 29/100
  Train: loss=1.8854, acc1=65.58%, acc5=90.63%
  Val  : loss=2.1248,   acc1=57.18%, acc5=85.07%
Epoch 30/100
  Train: loss=1.8772, acc1=65.76%, acc5=90.67%
  Val  : loss=2.0970,   acc1=58.42%, acc5=85.86%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_030.png
Epoch 31/100
  Train: loss=1.8579, acc1=66.24%, acc5=91.16%
  Val  : loss=2.0629,   acc1=59.42%, acc5=86.38%
Epoch 32/100
  Train: loss=1.8488, acc1=66.73%, acc5=91.14%
  Val  : loss=2.1427,   acc1=57.87%, acc5=84.40%
Epoch 33/100
  Train: loss=1.8286, acc1=67.58%, acc5=91.44%
  Val  : loss=2.1256,   acc1=57.73%, acc5=85.36%
Epoch 34/100
  Train: loss=1.8202, acc1=67.74%, acc5=91.55%
  Val  : loss=2.0265,   acc1=60.47%, acc5=86.99%
Epoch 35/100
  Train: loss=1.8100, acc1=68.38%, acc5=91.67%
  Val  : loss=2.1483,   acc1=57.84%, acc5=85.03%
Epoch 36/100
  Train: loss=1.7925, acc1=68.75%, acc5=91.82%
  Val  : loss=2.1852,   acc1=56.84%, acc5=83.95%
Epoch 37/100
  Train: loss=1.7860, acc1=68.72%, acc5=92.14%
  Val  : loss=2.0450,   acc1=59.81%, acc5=87.07%
Epoch 38/100
  Train: loss=1.7712, acc1=69.64%, acc5=92.33%
  Val  : loss=2.0459,   acc1=60.87%, acc5=86.09%
Epoch 39/100
  Train: loss=1.7675, acc1=69.69%, acc5=92.36%
  Val  : loss=2.1386,   acc1=58.61%, acc5=85.47%
Epoch 40/100
  Train: loss=1.7554, acc1=70.03%, acc5=92.56%
  Val  : loss=2.0147,   acc1=60.99%, acc5=87.59%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_040.png
Epoch 41/100
  Train: loss=1.7479, acc1=70.41%, acc5=92.52%
  Val  : loss=2.1728,   acc1=57.76%, acc5=84.38%
Epoch 42/100
  Train: loss=1.7416, acc1=70.69%, acc5=92.76%
  Val  : loss=2.1139,   acc1=58.93%, acc5=85.48%
Epoch 43/100
  Train: loss=1.7209, acc1=71.29%, acc5=93.09%
  Val  : loss=1.9745,   acc1=62.83%, acc5=88.43%
Epoch 44/100
  Train: loss=1.7197, acc1=71.31%, acc5=93.02%
  Val  : loss=2.0728,   acc1=59.49%, acc5=85.71%
Epoch 45/100
  Train: loss=1.7155, acc1=71.30%, acc5=93.26%
  Val  : loss=1.9763,   acc1=62.53%, acc5=87.62%
Epoch 46/100
  Train: loss=1.7018, acc1=72.02%, acc5=93.35%
  Val  : loss=1.9830,   acc1=61.98%, acc5=87.74%
Epoch 47/100
  Train: loss=1.6908, acc1=72.37%, acc5=93.49%
  Val  : loss=1.8897,   acc1=64.85%, acc5=89.90%
Epoch 48/100
  Train: loss=1.6867, acc1=72.37%, acc5=93.62%
  Val  : loss=1.9156,   acc1=64.64%, acc5=89.20%
Epoch 49/100
  Train: loss=1.6791, acc1=72.70%, acc5=93.74%
  Val  : loss=2.0891,   acc1=60.48%, acc5=85.92%
Epoch 50/100
  Train: loss=1.6755, acc1=72.72%, acc5=93.64%
  Val  : loss=2.0872,   acc1=60.18%, acc5=85.81%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_050.png
Epoch 51/100
  Train: loss=1.6625, acc1=73.17%, acc5=93.84%
  Val  : loss=2.0021,   acc1=62.15%, acc5=87.64%
Epoch 52/100
  Train: loss=1.6584, acc1=73.20%, acc5=93.99%
  Val  : loss=1.9622,   acc1=63.42%, acc5=87.63%
Epoch 53/100
  Train: loss=1.6475, acc1=73.64%, acc5=94.20%
  Val  : loss=1.9836,   acc1=62.34%, acc5=87.95%
Epoch 54/100
  Train: loss=1.6328, acc1=74.19%, acc5=94.30%
  Val  : loss=1.9842,   acc1=62.09%, acc5=87.81%
Epoch 55/100
  Train: loss=1.6319, acc1=74.20%, acc5=94.22%
  Val  : loss=1.9665,   acc1=62.65%, acc5=88.29%
Epoch 56/100
  Train: loss=1.6232, acc1=74.57%, acc5=94.38%
  Val  : loss=1.9878,   acc1=62.64%, acc5=87.69%
Epoch 57/100
  Train: loss=1.6153, acc1=74.75%, acc5=94.53%
  Val  : loss=1.9452,   acc1=63.60%, acc5=88.34%
Epoch 58/100
  Train: loss=1.6094, acc1=75.06%, acc5=94.49%
  Val  : loss=1.9616,   acc1=63.59%, acc5=88.05%
Epoch 59/100
  Train: loss=1.5996, acc1=75.46%, acc5=94.88%
  Val  : loss=1.9421,   acc1=64.03%, acc5=88.16%
Epoch 60/100
  Train: loss=1.5885, acc1=75.85%, acc5=94.85%
  Val  : loss=1.8940,   acc1=64.88%, acc5=89.70%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_060.png
Epoch 61/100
  Train: loss=1.5791, acc1=76.14%, acc5=94.97%
  Val  : loss=1.9705,   acc1=63.51%, acc5=87.82%
Epoch 62/100
  Train: loss=1.5737, acc1=76.21%, acc5=95.10%
  Val  : loss=1.8398,   acc1=67.20%, acc5=90.03%
Epoch 63/100
  Train: loss=1.5614, acc1=76.80%, acc5=95.16%
  Val  : loss=1.9270,   acc1=64.54%, acc5=88.79%
Epoch 64/100
  Train: loss=1.5451, acc1=77.12%, acc5=95.45%
  Val  : loss=1.9199,   acc1=64.59%, acc5=89.02%
Epoch 65/100
  Train: loss=1.5350, acc1=77.74%, acc5=95.71%
  Val  : loss=1.8729,   acc1=66.00%, acc5=89.71%
Epoch 66/100
  Train: loss=1.5208, acc1=78.14%, acc5=95.71%
  Val  : loss=1.9232,   acc1=64.36%, acc5=88.75%
Epoch 67/100
  Train: loss=1.5135, acc1=78.57%, acc5=95.84%
  Val  : loss=1.7854,   acc1=68.67%, acc5=90.73%
Epoch 68/100
  Train: loss=1.4968, acc1=79.13%, acc5=95.96%
  Val  : loss=1.8318,   acc1=67.32%, acc5=90.05%
Epoch 69/100
  Train: loss=1.4806, acc1=79.56%, acc5=96.23%
  Val  : loss=1.8724,   acc1=66.28%, acc5=88.66%
Epoch 70/100
  Train: loss=1.4681, acc1=80.02%, acc5=96.37%
  Val  : loss=1.8432,   acc1=67.53%, acc5=90.03%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_070.png
Epoch 71/100
  Train: loss=1.4617, acc1=80.25%, acc5=96.40%
  Val  : loss=1.8537,   acc1=66.39%, acc5=89.79%
Epoch 72/100
  Train: loss=1.4409, acc1=81.04%, acc5=96.64%
  Val  : loss=1.7962,   acc1=68.39%, acc5=90.61%
Epoch 73/100
  Train: loss=1.4224, acc1=81.61%, acc5=96.96%
  Val  : loss=1.8786,   acc1=66.04%, acc5=89.38%
Epoch 74/100
  Train: loss=1.4095, acc1=81.94%, acc5=97.04%
  Val  : loss=1.8126,   acc1=68.72%, acc5=90.53%
Epoch 75/100
  Train: loss=1.3921, acc1=82.64%, acc5=97.20%
  Val  : loss=1.7702,   acc1=69.51%, acc5=90.71%
Epoch 76/100
  Train: loss=1.3652, acc1=83.58%, acc5=97.45%
  Val  : loss=1.8120,   acc1=68.35%, acc5=90.49%
Epoch 77/100
  Train: loss=1.3544, acc1=84.12%, acc5=97.56%
  Val  : loss=1.7666,   acc1=70.13%, acc5=91.13%
Epoch 78/100
  Train: loss=1.3313, acc1=84.99%, acc5=97.79%
  Val  : loss=1.7613,   acc1=69.60%, acc5=91.23%
Epoch 79/100
  Train: loss=1.3021, acc1=86.03%, acc5=97.93%
  Val  : loss=1.7442,   acc1=70.69%, acc5=91.22%
Epoch 80/100
  Train: loss=1.2774, acc1=86.79%, acc5=98.27%
  Val  : loss=1.7211,   acc1=71.27%, acc5=91.62%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_080.png
Epoch 81/100
  Train: loss=1.2514, acc1=87.65%, acc5=98.41%
  Val  : loss=1.7150,   acc1=71.34%, acc5=91.82%
Epoch 82/100
  Train: loss=1.2293, acc1=88.45%, acc5=98.56%
  Val  : loss=1.7014,   acc1=71.56%, acc5=92.18%
Epoch 83/100
  Train: loss=1.2049, acc1=89.44%, acc5=98.69%
  Val  : loss=1.6885,   acc1=71.94%, acc5=91.88%
Epoch 84/100
  Train: loss=1.1779, acc1=90.34%, acc5=98.92%
  Val  : loss=1.6696,   acc1=72.65%, acc5=92.31%
Epoch 85/100
  Train: loss=1.1501, acc1=91.40%, acc5=99.08%
  Val  : loss=1.6483,   acc1=73.27%, acc5=92.41%
Epoch 86/100
  Train: loss=1.1212, acc1=92.27%, acc5=99.19%
  Val  : loss=1.6255,   acc1=73.90%, acc5=92.87%
Epoch 87/100
  Train: loss=1.0949, acc1=93.17%, acc5=99.35%
  Val  : loss=1.6245,   acc1=74.13%, acc5=92.92%
Epoch 88/100
  Train: loss=1.0623, acc1=94.15%, acc5=99.51%
  Val  : loss=1.6286,   acc1=74.20%, acc5=92.73%
Epoch 89/100
  Train: loss=1.0391, acc1=95.00%, acc5=99.56%
  Val  : loss=1.5967,   acc1=75.43%, acc5=93.30%
Epoch 90/100
  Train: loss=1.0142, acc1=95.57%, acc5=99.69%
  Val  : loss=1.5946,   acc1=75.15%, acc5=93.42%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_090.png
Epoch 91/100
  Train: loss=0.9890, acc1=96.46%, acc5=99.72%
  Val  : loss=1.5861,   acc1=75.11%, acc5=93.07%
Epoch 92/100
  Train: loss=0.9668, acc1=97.10%, acc5=99.77%
  Val  : loss=1.5811,   acc1=75.72%, acc5=93.17%
Epoch 93/100
  Train: loss=0.9487, acc1=97.57%, acc5=99.79%
  Val  : loss=1.5697,   acc1=76.03%, acc5=93.62%
Epoch 94/100
  Train: loss=0.9290, acc1=98.14%, acc5=99.85%
  Val  : loss=1.5519,   acc1=76.40%, acc5=93.58%
Epoch 95/100
  Train: loss=0.9143, acc1=98.52%, acc5=99.87%
  Val  : loss=1.5453,   acc1=76.72%, acc5=93.69%
Epoch 96/100
  Train: loss=0.9060, acc1=98.63%, acc5=99.86%
  Val  : loss=1.5424,   acc1=76.81%, acc5=93.74%
Epoch 97/100
  Train: loss=0.8983, acc1=98.81%, acc5=99.90%
  Val  : loss=1.5385,   acc1=77.08%, acc5=93.88%
Epoch 98/100
  Train: loss=0.8929, acc1=98.86%, acc5=99.90%
  Val  : loss=1.5391,   acc1=77.18%, acc5=93.74%
Epoch 99/100
  Train: loss=0.8883, acc1=99.02%, acc5=99.92%
  Val  : loss=1.5378,   acc1=77.36%, acc5=93.90%
Epoch 100/100
  Train: loss=0.8859, acc1=99.15%, acc5=99.90%
  Val  : loss=1.5360,   acc1=77.09%, acc5=93.86%
  Saving Grad-CAM overlays -> ./outputs/gradcam_epoch_100.png
Training complete. Best Top-1 Val Acc: 77.36%