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TeeA
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resnet-50-finetuned-pokemon

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: TeeA/resnet-50-finetuned-pokemon
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: resnet-50-finetuned-pokemon-finetuned-pokemon
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # resnet-50-finetuned-pokemon-finetuned-pokemon
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+
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+ This model is a fine-tuned version of [TeeA/resnet-50-finetuned-pokemon](https://huggingface.co/TeeA/resnet-50-finetuned-pokemon) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 14.5363
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+ - Accuracy: 0.0842
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.1894 | 0.99 | 38 | 9.2115 | 0.0137 |
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+ | 1.1389 | 1.99 | 76 | 9.2521 | 0.0129 |
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+ | 1.0432 | 2.98 | 114 | 9.4765 | 0.0144 |
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+ | 1.0625 | 4.0 | 153 | 9.7668 | 0.0137 |
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+ | 1.0805 | 4.99 | 191 | 10.2526 | 0.0137 |
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+ | 1.0353 | 5.99 | 229 | 10.3238 | 0.0129 |
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+ | 0.9747 | 6.98 | 267 | 10.5779 | 0.0165 |
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+ | 0.9708 | 8.0 | 306 | 10.7458 | 0.0180 |
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+ | 0.8886 | 8.99 | 344 | 11.0072 | 0.0194 |
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+ | 0.8408 | 9.99 | 382 | 11.3171 | 0.0223 |
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+ | 0.802 | 10.98 | 420 | 11.5545 | 0.0245 |
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+ | 0.7903 | 12.0 | 459 | 11.7722 | 0.0288 |
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+ | 0.7553 | 12.99 | 497 | 11.9834 | 0.0353 |
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+ | 0.7413 | 13.99 | 535 | 11.9815 | 0.0446 |
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+ | 0.6272 | 14.98 | 573 | 12.0871 | 0.0496 |
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+ | 0.6944 | 16.0 | 612 | 12.3713 | 0.0590 |
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+ | 0.6322 | 16.99 | 650 | 12.6826 | 0.0554 |
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+ | 0.6131 | 17.99 | 688 | 12.4819 | 0.0612 |
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+ | 0.5916 | 18.98 | 726 | 12.6246 | 0.0647 |
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+ | 0.5094 | 20.0 | 765 | 12.6641 | 0.0669 |
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+ | 0.5201 | 20.99 | 803 | 12.8861 | 0.0662 |
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+ | 0.4731 | 21.99 | 841 | 12.7431 | 0.0655 |
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+ | 0.5132 | 22.98 | 879 | 12.7786 | 0.0705 |
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+ | 0.5036 | 24.0 | 918 | 12.9990 | 0.0727 |
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+ | 0.4863 | 24.99 | 956 | 13.0419 | 0.0727 |
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+ | 0.4852 | 25.99 | 994 | 13.0573 | 0.0734 |
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+ | 0.4983 | 26.98 | 1032 | 13.1310 | 0.0719 |
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+ | 0.459 | 28.0 | 1071 | 13.0688 | 0.0748 |
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+ | 0.4556 | 28.99 | 1109 | 13.4128 | 0.0748 |
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+ | 0.4729 | 29.99 | 1147 | 13.3530 | 0.0741 |
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+ | 0.4659 | 30.98 | 1185 | 13.2308 | 0.0763 |
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+ | 0.4337 | 32.0 | 1224 | 13.3264 | 0.0748 |
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+ | 0.456 | 32.99 | 1262 | 13.3506 | 0.0741 |
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+ | 0.4423 | 33.99 | 1300 | 13.3607 | 0.0784 |
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+ | 0.4037 | 34.98 | 1338 | 13.2521 | 0.0734 |
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+ | 0.3891 | 36.0 | 1377 | 13.3702 | 0.0777 |
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+ | 0.3992 | 36.99 | 1415 | 13.4762 | 0.0777 |
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+ | 0.4014 | 37.99 | 1453 | 13.5382 | 0.0791 |
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+ | 0.3549 | 38.98 | 1491 | 13.5550 | 0.0791 |
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+ | 0.4048 | 40.0 | 1530 | 13.6406 | 0.0799 |
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+ | 0.3711 | 40.99 | 1568 | 13.5120 | 0.0777 |
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+ | 0.3834 | 41.99 | 1606 | 13.9230 | 0.0799 |
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+ | 0.3475 | 42.98 | 1644 | 13.8602 | 0.0791 |
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+ | 0.3465 | 44.0 | 1683 | 13.6931 | 0.0806 |
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+ | 0.3682 | 44.99 | 1721 | 13.7774 | 0.0784 |
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+ | 0.3613 | 45.99 | 1759 | 14.0235 | 0.0791 |
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+ | 0.368 | 46.98 | 1797 | 13.9289 | 0.0813 |
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+ | 0.3961 | 48.0 | 1836 | 14.2549 | 0.0806 |
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+ | 0.365 | 48.99 | 1874 | 14.1114 | 0.0813 |
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+ | 0.3259 | 49.99 | 1912 | 13.9710 | 0.0806 |
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+ | 0.2998 | 50.98 | 1950 | 14.0288 | 0.0806 |
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+ | 0.3203 | 52.0 | 1989 | 13.9398 | 0.0813 |
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+ | 0.3104 | 52.99 | 2027 | 14.0255 | 0.0820 |
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+ | 0.3232 | 53.99 | 2065 | 13.9355 | 0.0827 |
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+ | 0.3521 | 54.98 | 2103 | 13.8627 | 0.0806 |
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+ | 0.3322 | 56.0 | 2142 | 14.0179 | 0.0806 |
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+ | 0.3129 | 56.99 | 2180 | 13.9640 | 0.0820 |
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+ | 0.3159 | 57.99 | 2218 | 14.1997 | 0.0799 |
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+ | 0.3118 | 58.98 | 2256 | 14.1639 | 0.0820 |
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+ | 0.3196 | 60.0 | 2295 | 14.0334 | 0.0806 |
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+ | 0.301 | 60.99 | 2333 | 13.9954 | 0.0820 |
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+ | 0.3142 | 61.99 | 2371 | 14.1432 | 0.0799 |
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+ | 0.3192 | 62.98 | 2409 | 14.0269 | 0.0784 |
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+ | 0.3342 | 64.0 | 2448 | 14.0450 | 0.0806 |
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+ | 0.3045 | 64.99 | 2486 | 14.1746 | 0.0849 |
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+ | 0.2991 | 65.99 | 2524 | 14.3192 | 0.0806 |
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+ | 0.3228 | 66.98 | 2562 | 14.1782 | 0.0784 |
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+ | 0.2711 | 68.0 | 2601 | 14.4261 | 0.0849 |
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+ | 0.2473 | 68.99 | 2639 | 14.2303 | 0.0827 |
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+ | 0.3287 | 69.99 | 2677 | 14.2750 | 0.0827 |
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+ | 0.2673 | 70.98 | 2715 | 14.2303 | 0.0820 |
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+ | 0.2843 | 72.0 | 2754 | 14.4086 | 0.0806 |
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+ | 0.3099 | 72.99 | 2792 | 14.5184 | 0.0827 |
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+ | 0.3102 | 73.99 | 2830 | 14.2768 | 0.0835 |
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+ | 0.2911 | 74.98 | 2868 | 14.1010 | 0.0835 |
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+ | 0.2927 | 76.0 | 2907 | 14.4618 | 0.0813 |
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+ | 0.2967 | 76.99 | 2945 | 14.3581 | 0.0820 |
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+ | 0.2446 | 77.99 | 2983 | 14.4562 | 0.0835 |
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+ | 0.3035 | 78.98 | 3021 | 14.2681 | 0.0835 |
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+ | 0.2989 | 80.0 | 3060 | 14.2768 | 0.0827 |
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+ | 0.2486 | 80.99 | 3098 | 14.4242 | 0.0820 |
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+ | 0.2622 | 81.99 | 3136 | 14.3810 | 0.0835 |
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+ | 0.2892 | 82.98 | 3174 | 14.4637 | 0.0827 |
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+ | 0.2668 | 84.0 | 3213 | 14.4597 | 0.0835 |
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+ | 0.2527 | 84.99 | 3251 | 14.3098 | 0.0820 |
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+ | 0.2636 | 85.99 | 3289 | 14.3741 | 0.0835 |
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+ | 0.247 | 86.98 | 3327 | 14.5369 | 0.0842 |
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+ | 0.2693 | 88.0 | 3366 | 14.4039 | 0.0835 |
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+ | 0.2692 | 88.99 | 3404 | 14.6161 | 0.0835 |
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+ | 0.28 | 89.99 | 3442 | 14.5244 | 0.0835 |
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+ | 0.2535 | 90.98 | 3480 | 14.4062 | 0.0842 |
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+ | 0.2887 | 92.0 | 3519 | 14.4113 | 0.0806 |
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+ | 0.257 | 92.99 | 3557 | 14.3442 | 0.0842 |
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+ | 0.2627 | 93.99 | 3595 | 14.4693 | 0.0835 |
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+ | 0.2804 | 94.98 | 3633 | 14.3223 | 0.0835 |
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+ | 0.2529 | 96.0 | 3672 | 14.3844 | 0.0835 |
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+ | 0.2327 | 96.99 | 3710 | 14.4284 | 0.0835 |
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+ | 0.2643 | 97.99 | 3748 | 14.5567 | 0.0835 |
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+ | 0.284 | 98.98 | 3786 | 14.6738 | 0.0813 |
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+ | 0.2503 | 99.35 | 3800 | 14.5363 | 0.0842 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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