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  1. README.md +26 -0
  2. resnet18_cifar100_best.pth +3 -0
  3. training_logs.md +219 -0
README.md ADDED
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+
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+ ---
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+ model-name: resnet18-cifar100-scratch
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+ datasets:
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+ - cifar100
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+ license: mit
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+ language: en
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+ tags:
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+ - image-classification
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+ - resnet
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+ - pytorch
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+ ---
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+
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+ # ResNet18 Trained from Scratch on CIFAR-100
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+
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+ This checkpoint was trained from scratch to meet the assignment requirement of **73%** top-1 accuracy.
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+
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+ ## Final Performance
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+
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+ | Metric | Value |
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+ | :--- | :--- |
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+ | **Top-1 Validation Accuracy** | 75.00% |
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+ | **Epoch Reached** | 106 |
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+ | **Total Parameters** | 11.18M |
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+
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+ The full training script is available on GitHub (link to be added).
resnet18_cifar100_best.pth ADDED
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+ size 44961803
training_logs.md ADDED
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+ Epoch 1/150 time 46.2s | LR 0.099989 | T_Acc 6.18% | V_Acc 14.40% (Best 14.40%)
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+ Epoch 2/150 time 46.7s | LR 0.099956 | T_Acc 9.17% | V_Acc 23.31% (Best 23.31%)
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+ Epoch 3/150 time 46.0s | LR 0.099901 | T_Acc 15.33% | V_Acc 28.09% (Best 28.09%)
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+ Epoch 4/150 time 46.7s | LR 0.099825 | T_Acc 17.70% | V_Acc 34.24% (Best 34.24%)
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+ Epoch 5/150 time 46.2s | LR 0.099726 | T_Acc 18.81% | V_Acc 40.23% (Best 40.23%)
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+ Epoch 6/150 time 46.8s | LR 0.099606 | T_Acc 22.63% | V_Acc 37.07% (Best 40.23%)
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+ Epoch 7/150 time 46.0s | LR 0.099464 | T_Acc 24.86% | V_Acc 48.00% (Best 48.00%)
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+ Epoch 8/150 time 46.6s | LR 0.099300 | T_Acc 26.73% | V_Acc 40.21% (Best 48.00%)
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+
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+ Epoch 9/150 time 45.8s | LR 0.099114 | T_Acc 27.40% | V_Acc 52.24% (Best 52.24%)
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+ Epoch 10/150 time 46.7s | LR 0.098907 | T_Acc 29.13% | V_Acc 55.33% (Best 55.33%)
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+ Epoch 11/150 time 46.0s | LR 0.098679 | T_Acc 26.94% | V_Acc 50.18% (Best 55.33%)
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+ Epoch 12/150 time 46.9s | LR 0.098429 | T_Acc 28.68% | V_Acc 53.32% (Best 55.33%)
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+ Epoch 13/150 time 45.8s | LR 0.098158 | T_Acc 27.69% | V_Acc 54.84% (Best 55.33%)
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+ Epoch 14/150 time 46.9s | LR 0.097866 | T_Acc 30.38% | V_Acc 54.00% (Best 55.33%)
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+ Epoch 15/150 time 46.0s | LR 0.097553 | T_Acc 28.33% | V_Acc 50.92% (Best 55.33%)
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+ Epoch 16/150 time 47.0s | LR 0.097219 | T_Acc 33.01% | V_Acc 57.09% (Best 57.09%)
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+ Epoch 17/150 time 45.9s | LR 0.096864 | T_Acc 30.52% | V_Acc 54.17% (Best 57.09%)
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+ Epoch 18/150 time 46.4s | LR 0.096489 | T_Acc 29.65% | V_Acc 58.78% (Best 58.78%)
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+ Epoch 19/150 time 46.2s | LR 0.096093 | T_Acc 34.11% | V_Acc 54.57% (Best 58.78%)
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+ Epoch 20/150 time 46.3s | LR 0.095677 | T_Acc 31.58% | V_Acc 57.79% (Best 58.78%)
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+ Epoch 21/150 time 46.3s | LR 0.095241 | T_Acc 29.50% | V_Acc 61.00% (Best 61.00%)
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+ Epoch 22/150 time 46.3s | LR 0.094786 | T_Acc 33.46% | V_Acc 56.24% (Best 61.00%)
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+ Epoch 23/150 time 46.4s | LR 0.094310 | T_Acc 30.54% | V_Acc 55.61% (Best 61.00%)
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+ Epoch 24/150 time 45.9s | LR 0.093815 | T_Acc 39.09% | V_Acc 57.94% (Best 61.00%)
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+ Epoch 25/150 time 46.6s | LR 0.093301 | T_Acc 31.22% | V_Acc 61.77% (Best 61.77%)
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+ Epoch 26/150 time 46.0s | LR 0.092768 | T_Acc 35.75% | V_Acc 58.42% (Best 61.77%)
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+ Epoch 27/150 time 46.7s | LR 0.092216 | T_Acc 34.03% | V_Acc 60.11% (Best 61.77%)
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+ Epoch 28/150 time 45.8s | LR 0.091646 | T_Acc 33.99% | V_Acc 58.57% (Best 61.77%)
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+ Epoch 29/150 time 47.0s | LR 0.091057 | T_Acc 33.83% | V_Acc 59.09% (Best 61.77%)
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+ Epoch 30/150 time 46.0s | LR 0.090451 | T_Acc 32.88% | V_Acc 59.71% (Best 61.77%)
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+ Epoch 31/150 time 46.5s | LR 0.089826 | T_Acc 33.69% | V_Acc 59.50% (Best 61.77%)
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+ Epoch 32/150 time 45.8s | LR 0.089185 | T_Acc 32.97% | V_Acc 60.37% (Best 61.77%)
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+ Epoch 33/150 time 46.4s | LR 0.088526 | T_Acc 36.24% | V_Acc 60.64% (Best 61.77%)
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+ Epoch 34/150 time 45.9s | LR 0.087850 | T_Acc 35.14% | V_Acc 63.45% (Best 63.45%)
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+ Epoch 35/150 time 46.8s | LR 0.087157 | T_Acc 32.72% | V_Acc 60.25% (Best 63.45%)
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+ Epoch 36/150 time 45.9s | LR 0.086448 | T_Acc 35.21% | V_Acc 62.73% (Best 63.45%)
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+ Epoch 37/150 time 46.7s | LR 0.085724 | T_Acc 36.02% | V_Acc 59.28% (Best 63.45%)
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+ Epoch 38/150 time 45.8s | LR 0.084983 | T_Acc 35.32% | V_Acc 63.19% (Best 63.45%)
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+ Epoch 39/150 time 47.0s | LR 0.084227 | T_Acc 35.02% | V_Acc 62.00% (Best 63.45%)
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+ Epoch 40/150 time 45.9s | LR 0.083457 | T_Acc 33.85% | V_Acc 65.11% (Best 65.11%)
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+ Epoch 41/150 time 46.6s | LR 0.082671 | T_Acc 33.27% | V_Acc 61.83% (Best 65.11%)
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+ Epoch 42/150 time 46.1s | LR 0.081871 | T_Acc 33.98% | V_Acc 62.41% (Best 65.11%)
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+ Epoch 43/150 time 46.2s | LR 0.081057 | T_Acc 31.98% | V_Acc 62.63% (Best 65.11%)
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+ Epoch 44/150 time 46.4s | LR 0.080230 | T_Acc 33.80% | V_Acc 65.42% (Best 65.42%)
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+ Epoch 45/150 time 46.1s | LR 0.079389 | T_Acc 36.07% | V_Acc 62.92% (Best 65.42%)
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+ Epoch 46/150 time 46.6s | LR 0.078536 | T_Acc 39.97% | V_Acc 61.97% (Best 65.42%)
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+ Epoch 47/150 time 46.0s | LR 0.077670 | T_Acc 41.20% | V_Acc 63.78% (Best 65.42%)
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+ Epoch 48/150 time 46.4s | LR 0.076791 | T_Acc 39.14% | V_Acc 66.40% (Best 66.40%)
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+ Epoch 49/150 time 46.2s | LR 0.075901 | T_Acc 40.71% | V_Acc 65.73% (Best 66.40%)
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+ Epoch 50/150 time 46.2s | LR 0.075000 | T_Acc 38.64% | V_Acc 64.12% (Best 66.40%)
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+ Epoch 51/150 time 46.4s | LR 0.074088 | T_Acc 39.56% | V_Acc 63.05% (Best 66.40%)
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+ Epoch 52/150 time 46.1s | LR 0.073165 | T_Acc 38.89% | V_Acc 66.69% (Best 66.69%)
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+ Epoch 53/150 time 46.5s | LR 0.072232 | T_Acc 36.04% | V_Acc 65.93% (Best 66.69%)
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+ Epoch 54/150 time 46.3s | LR 0.071289 | T_Acc 38.89% | V_Acc 60.60% (Best 66.69%)
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+ Epoch 55/150 time 46.2s | LR 0.070337 | T_Acc 36.56% | V_Acc 63.21% (Best 66.69%)
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+ Epoch 56/150 time 46.1s | LR 0.069376 | T_Acc 39.54% | V_Acc 65.29% (Best 66.69%)
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+ Epoch 57/150 time 46.3s | LR 0.068406 | T_Acc 36.21% | V_Acc 67.33% (Best 67.33%)
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+ Epoch 58/150 time 46.1s | LR 0.067429 | T_Acc 36.06% | V_Acc 64.07% (Best 67.33%)
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+ Epoch 59/150 time 46.3s | LR 0.066443 | T_Acc 31.48% | V_Acc 65.08% (Best 67.33%)
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+ Epoch 60/150 time 46.1s | LR 0.065451 | T_Acc 38.06% | V_Acc 66.21% (Best 67.33%)
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+ Epoch 61/150 time 46.0s | LR 0.064452 | T_Acc 41.02% | V_Acc 68.43% (Best 68.43%)
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+ Epoch 62/150 time 46.7s | LR 0.063446 | T_Acc 40.96% | V_Acc 68.47% (Best 68.47%)
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+ Epoch 63/150 time 45.9s | LR 0.062434 | T_Acc 36.52% | V_Acc 65.68% (Best 68.47%)
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+ Epoch 64/150 time 47.1s | LR 0.061418 | T_Acc 37.67% | V_Acc 65.85% (Best 68.47%)
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+ Epoch 65/150 time 45.9s | LR 0.060396 | T_Acc 36.40% | V_Acc 66.57% (Best 68.47%)
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+ Epoch 66/150 time 46.9s | LR 0.059369 | T_Acc 43.55% | V_Acc 68.39% (Best 68.47%)
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+ Epoch 67/150 time 46.1s | LR 0.058338 | T_Acc 38.38% | V_Acc 67.03% (Best 68.47%)
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+ Epoch 68/150 time 46.8s | LR 0.057304 | T_Acc 34.24% | V_Acc 67.36% (Best 68.47%)
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+ Epoch 69/150 time 46.4s | LR 0.056267 | T_Acc 38.77% | V_Acc 68.21% (Best 68.47%)
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+ Epoch 70/150 time 46.4s | LR 0.055226 | T_Acc 43.88% | V_Acc 66.12% (Best 68.47%)
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+ Epoch 71/150 time 46.0s | LR 0.054184 | T_Acc 42.17% | V_Acc 65.56% (Best 68.47%)
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+ Epoch 72/150 time 46.6s | LR 0.053140 | T_Acc 37.70% | V_Acc 67.64% (Best 68.47%)
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+ Epoch 73/150 time 46.4s | LR 0.052094 | T_Acc 38.36% | V_Acc 67.69% (Best 68.47%)
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+ Epoch 74/150 time 46.2s | LR 0.051047 | T_Acc 41.33% | V_Acc 65.58% (Best 68.47%)
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+ Epoch 75/150 time 46.2s | LR 0.050000 | T_Acc 43.31% | V_Acc 69.57% (Best 69.57%)
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+ Epoch 76/150 time 45.8s | LR 0.048953 | T_Acc 37.08% | V_Acc 69.03% (Best 69.57%)
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+ Epoch 77/150 time 46.8s | LR 0.047906 | T_Acc 37.48% | V_Acc 68.79% (Best 69.57%)
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+ Epoch 78/150 time 46.2s | LR 0.046860 | T_Acc 37.16% | V_Acc 69.89% (Best 69.89%)
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+ Epoch 79/150 time 46.7s | LR 0.045816 | T_Acc 42.30% | V_Acc 70.23% (Best 70.23%)
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+ Epoch 80/150 time 45.7s | LR 0.044774 | T_Acc 38.72% | V_Acc 69.84% (Best 70.23%)
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+ Epoch 81/150 time 46.3s | LR 0.043733 | T_Acc 41.49% | V_Acc 68.86% (Best 70.23%)
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+ Epoch 82/150 time 46.1s | LR 0.042696 | T_Acc 37.85% | V_Acc 69.78% (Best 70.23%)
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+ Epoch 83/150 time 46.3s | LR 0.041662 | T_Acc 43.26% | V_Acc 70.87% (Best 70.87%)
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+ Epoch 84/150 time 46.1s | LR 0.040631 | T_Acc 38.52% | V_Acc 69.83% (Best 70.87%)
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+ Epoch 85/150 time 46.0s | LR 0.039604 | T_Acc 46.01% | V_Acc 69.81% (Best 70.87%)
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+ Epoch 86/150 time 46.6s | LR 0.038582 | T_Acc 42.74% | V_Acc 71.36% (Best 71.36%)
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+ Epoch 87/150 time 45.9s | LR 0.037566 | T_Acc 35.35% | V_Acc 70.59% (Best 71.36%)
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+ Epoch 88/150 time 46.5s | LR 0.036554 | T_Acc 45.87% | V_Acc 71.13% (Best 71.36%)
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+ Epoch 89/150 time 46.1s | LR 0.035548 | T_Acc 47.26% | V_Acc 70.93% (Best 71.36%)
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+ Epoch 90/150 time 46.7s | LR 0.034549 | T_Acc 39.79% | V_Acc 71.64% (Best 71.64%)
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+ Epoch 91/150 time 46.1s | LR 0.033557 | T_Acc 42.48% | V_Acc 71.62% (Best 71.64%)
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+ Epoch 92/150 time 46.2s | LR 0.032571 | T_Acc 48.43% | V_Acc 72.34% (Best 72.34%)
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+ Epoch 93/150 time 45.8s | LR 0.031594 | T_Acc 45.72% | V_Acc 70.20% (Best 72.34%)
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+ Epoch 94/150 time 46.7s | LR 0.030624 | T_Acc 47.13% | V_Acc 72.86% (Best 72.86%)
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+ Epoch 95/150 time 45.9s | LR 0.029663 | T_Acc 43.67% | V_Acc 71.83% (Best 72.86%)
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+ Epoch 96/150 time 46.4s | LR 0.028711 | T_Acc 38.67% | V_Acc 73.83% (Best 73.83%)
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+ Epoch 97/150 time 45.9s | LR 0.027768 | T_Acc 43.42% | V_Acc 74.11% (Best 74.11%)
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+ Epoch 98/150 time 46.3s | LR 0.026835 | T_Acc 44.16% | V_Acc 73.00% (Best 74.11%)
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+ Epoch 99/150 time 46.0s | LR 0.025912 | T_Acc 43.73% | V_Acc 72.36% (Best 74.11%)
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+ Epoch 100/150 time 46.6s | LR 0.025000 | T_Acc 47.41% | V_Acc 73.12% (Best 74.11%)
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+ Epoch 101/150 time 46.5s | LR 0.024099 | T_Acc 47.92% | V_Acc 74.67% (Best 74.67%)
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+ Epoch 102/150 time 46.2s | LR 0.023209 | T_Acc 46.27% | V_Acc 74.04% (Best 74.67%)
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+ Epoch 103/150 time 46.1s | LR 0.022330 | T_Acc 45.94% | V_Acc 74.00% (Best 74.67%)
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+ Epoch 104/150 time 46.3s | LR 0.021464 | T_Acc 42.58% | V_Acc 74.04% (Best 74.67%)
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+ Epoch 105/150 time 46.0s | LR 0.020611 | T_Acc 46.19% | V_Acc 72.40% (Best 74.67%)
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+ Epoch 106/150 time 46.5s | LR 0.019770 | T_Acc 47.37% | V_Acc 75.43% (Best 75.43%)
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+ # Training Logs (ResNet18 on CIFAR-100)
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+
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+ **Final Result:**
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+ - **Best Validation Accuracy:** 75.00%
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+ - **Epoch Reached:** 106
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+