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Image Classification
Transformers
Safetensors
resnet
Generated from Trainer
Eval Results (legacy)
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  1. README.md +56 -56
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9207317073170732
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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
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1982
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- - Accuracy: 0.9207
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  ## Model description
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@@ -66,58 +66,58 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Accuracy | Validation Loss |
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- |:-------------:|:-----:|:----:|:--------:|:---------------:|
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- | 5.578 | 1.0 | 154 | 0.0110 | 5.5483 |
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- | 5.1442 | 2.0 | 308 | 0.0630 | 4.9534 |
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- | 4.3147 | 3.0 | 462 | 0.1715 | 4.0494 |
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- | 3.6217 | 4.0 | 616 | 0.3154 | 3.1552 |
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- | 2.8758 | 5.0 | 770 | 0.4598 | 2.3913 |
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- | 2.5127 | 6.0 | 924 | 0.5736 | 1.8551 |
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- | 2.0255 | 7.0 | 1078 | 0.6480 | 1.4583 |
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- | 1.7498 | 8.0 | 1232 | 0.7301 | 1.1673 |
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- | 1.5827 | 9.0 | 1386 | 0.7545 | 0.9545 |
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- | 1.3878 | 10.0 | 1540 | 0.8 | 0.7889 |
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- | 1.2023 | 11.0 | 1694 | 0.8122 | 0.7008 |
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- | 1.0313 | 12.0 | 1848 | 0.8394 | 0.5885 |
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- | 0.9895 | 13.0 | 2002 | 0.8480 | 0.5341 |
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- | 0.8701 | 14.0 | 2156 | 0.8512 | 0.5032 |
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- | 0.7848 | 15.0 | 2310 | 0.8728 | 0.4448 |
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- | 0.8012 | 16.0 | 2464 | 0.8569 | 0.4308 |
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- | 0.6994 | 17.0 | 2618 | 0.8866 | 0.3686 |
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- | 0.6097 | 18.0 | 2772 | 0.8829 | 0.3650 |
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- | 0.5716 | 19.0 | 2926 | 0.8817 | 0.3683 |
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- | 0.5551 | 20.0 | 3080 | 0.8862 | 0.3425 |
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- | 0.6083 | 21.0 | 3234 | 0.9020 | 0.3025 |
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- | 0.5 | 22.0 | 3388 | 0.8980 | 0.3025 |
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- | 0.5356 | 23.0 | 3542 | 0.8931 | 0.2901 |
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- | 0.4927 | 24.0 | 3696 | 0.9057 | 0.2807 |
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- | 0.4471 | 25.0 | 3850 | 0.8972 | 0.2655 |
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- | 0.46 | 26.0 | 4004 | 0.9028 | 0.2563 |
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- | 0.4675 | 27.0 | 4158 | 0.9004 | 0.2587 |
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- | 0.3876 | 28.0 | 4312 | 0.9118 | 0.2395 |
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- | 0.3754 | 29.0 | 4466 | 0.9118 | 0.2324 |
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- | 0.3685 | 30.0 | 4620 | 0.2299 | 0.9110 |
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- | 0.4442 | 31.0 | 4774 | 0.2392 | 0.9093 |
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- | 0.3946 | 32.0 | 4928 | 0.2270 | 0.9085 |
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- | 0.3452 | 33.0 | 5082 | 0.2412 | 0.9089 |
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- | 0.4025 | 34.0 | 5236 | 0.2203 | 0.9138 |
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- | 0.3293 | 35.0 | 5390 | 0.2195 | 0.9102 |
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- | 0.3391 | 36.0 | 5544 | 0.2185 | 0.9154 |
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- | 0.3225 | 37.0 | 5698 | 0.2242 | 0.9085 |
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- | 0.2877 | 38.0 | 5852 | 0.2092 | 0.9183 |
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- | 0.3184 | 39.0 | 6006 | 0.2048 | 0.9175 |
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- | 0.2992 | 40.0 | 6160 | 0.2102 | 0.9163 |
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- | 0.2696 | 41.0 | 6314 | 0.2025 | 0.9114 |
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- | 0.3523 | 42.0 | 6468 | 0.2208 | 0.9077 |
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- | 0.3203 | 43.0 | 6622 | 0.2103 | 0.9195 |
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- | 0.2708 | 44.0 | 6776 | 0.2088 | 0.9150 |
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- | 0.2763 | 45.0 | 6930 | 0.1997 | 0.9191 |
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- | 0.2673 | 46.0 | 7084 | 0.1900 | 0.9195 |
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- | 0.2755 | 47.0 | 7238 | 0.1986 | 0.9154 |
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- | 0.2548 | 48.0 | 7392 | 0.2074 | 0.9138 |
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- | 0.2807 | 49.0 | 7546 | 0.1912 | 0.9211 |
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- | 0.2604 | 50.0 | 7700 | 0.1982 | 0.9207 |
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  ### Framework versions
@@ -125,4 +125,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.53.3
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  - Pytorch 2.7.1
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  - Datasets 4.0.0
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- - Tokenizers 0.21.2
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9162162162162162
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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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  This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2760
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+ - Accuracy: 0.9162
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 3.7676 | 1.0 | 24 | 3.6832 | 0.0459 |
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+ | 3.607 | 2.0 | 48 | 3.4400 | 0.0919 |
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+ | 3.2234 | 3.0 | 72 | 3.0452 | 0.1919 |
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+ | 2.8944 | 4.0 | 96 | 2.5182 | 0.3324 |
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+ | 2.1637 | 5.0 | 120 | 2.0193 | 0.4351 |
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+ | 1.9347 | 6.0 | 144 | 1.6222 | 0.5595 |
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+ | 1.6851 | 7.0 | 168 | 1.3065 | 0.6297 |
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+ | 1.369 | 8.0 | 192 | 1.0945 | 0.6919 |
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+ | 1.2987 | 9.0 | 216 | 0.9188 | 0.7270 |
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+ | 1.1044 | 10.0 | 240 | 0.8216 | 0.7541 |
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+ | 1.044 | 11.0 | 264 | 0.7295 | 0.8 |
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+ | 1.0134 | 12.0 | 288 | 0.6655 | 0.8270 |
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+ | 0.9284 | 13.0 | 312 | 0.6212 | 0.8189 |
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+ | 0.8603 | 14.0 | 336 | 0.5687 | 0.8216 |
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+ | 0.7748 | 15.0 | 360 | 0.5291 | 0.8649 |
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+ | 0.8133 | 16.0 | 384 | 0.5337 | 0.8324 |
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+ | 0.8379 | 17.0 | 408 | 0.4993 | 0.8486 |
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+ | 0.751 | 18.0 | 432 | 0.4632 | 0.8514 |
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+ | 0.8585 | 19.0 | 456 | 0.4908 | 0.8162 |
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+ | 0.6627 | 20.0 | 480 | 0.4358 | 0.8622 |
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+ | 0.6497 | 21.0 | 504 | 0.4240 | 0.8486 |
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+ | 0.6422 | 22.0 | 528 | 0.4143 | 0.8486 |
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+ | 0.5964 | 23.0 | 552 | 0.3912 | 0.8676 |
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+ | 0.5793 | 24.0 | 576 | 0.4026 | 0.8568 |
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+ | 0.5909 | 25.0 | 600 | 0.3531 | 0.8838 |
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+ | 0.593 | 26.0 | 624 | 0.3661 | 0.8811 |
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+ | 0.5957 | 27.0 | 648 | 0.3674 | 0.8892 |
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+ | 0.5869 | 28.0 | 672 | 0.3710 | 0.8892 |
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+ | 0.4999 | 29.0 | 696 | 0.3422 | 0.8919 |
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+ | 0.4843 | 30.0 | 720 | 0.3178 | 0.8946 |
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+ | 0.5352 | 31.0 | 744 | 0.3129 | 0.8865 |
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+ | 0.4937 | 32.0 | 768 | 0.3399 | 0.8973 |
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+ | 0.483 | 33.0 | 792 | 0.2855 | 0.8973 |
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+ | 0.4265 | 34.0 | 816 | 0.3316 | 0.9 |
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+ | 0.4412 | 35.0 | 840 | 0.3273 | 0.8865 |
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+ | 0.4324 | 36.0 | 864 | 0.3167 | 0.8973 |
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+ | 0.4681 | 37.0 | 888 | 0.2944 | 0.9270 |
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+ | 0.4813 | 38.0 | 912 | 0.2943 | 0.9135 |
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+ | 0.4585 | 39.0 | 936 | 0.3019 | 0.9027 |
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+ | 0.4151 | 40.0 | 960 | 0.3399 | 0.8892 |
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+ | 0.4351 | 41.0 | 984 | 0.2623 | 0.9081 |
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+ | 0.4364 | 42.0 | 1008 | 0.2892 | 0.9135 |
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+ | 0.4632 | 43.0 | 1032 | 0.3086 | 0.9081 |
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+ | 0.3867 | 44.0 | 1056 | 0.2913 | 0.9 |
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+ | 0.4007 | 45.0 | 1080 | 0.2502 | 0.9135 |
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+ | 0.3848 | 46.0 | 1104 | 0.2702 | 0.9162 |
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+ | 0.4061 | 47.0 | 1128 | 0.2634 | 0.9162 |
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+ | 0.3901 | 48.0 | 1152 | 0.2975 | 0.9054 |
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+ | 0.3794 | 49.0 | 1176 | 0.2590 | 0.8973 |
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+ | 0.3583 | 50.0 | 1200 | 0.2760 | 0.9162 |
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  ### Framework versions
 
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  - Transformers 4.53.3
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  - Pytorch 2.7.1
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  - Datasets 4.0.0
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+ - Tokenizers 0.21.4
model.safetensors CHANGED
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