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vit-base-patch16-224_augmented-v2_tl

Image Classification
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vit
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  1. README.md +22 -22
  2. logs/events.out.tfevents.1740249744.2b0b0966ae75.182.0 +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6797
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- - Accuracy: 0.7708
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  ## Model description
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@@ -52,26 +52,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.0152 | 1.0 | 63 | 1.7805 | 0.3482 |
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- | 1.5405 | 2.0 | 126 | 1.2886 | 0.6071 |
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- | 1.128 | 3.0 | 189 | 1.0534 | 0.6637 |
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- | 0.9306 | 4.0 | 252 | 0.9334 | 0.7113 |
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- | 0.8207 | 5.0 | 315 | 0.8422 | 0.7321 |
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- | 0.7481 | 6.0 | 378 | 0.8108 | 0.7113 |
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- | 0.697 | 7.0 | 441 | 0.7858 | 0.7411 |
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- | 0.6561 | 8.0 | 504 | 0.7554 | 0.75 |
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- | 0.626 | 9.0 | 567 | 0.7322 | 0.75 |
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- | 0.6015 | 10.0 | 630 | 0.7166 | 0.7619 |
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- | 0.5818 | 11.0 | 693 | 0.7090 | 0.7589 |
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- | 0.5665 | 12.0 | 756 | 0.6997 | 0.7589 |
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- | 0.5557 | 13.0 | 819 | 0.6915 | 0.7589 |
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- | 0.5458 | 14.0 | 882 | 0.6876 | 0.7649 |
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- | 0.5378 | 15.0 | 945 | 0.6823 | 0.7619 |
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- | 0.5335 | 16.0 | 1008 | 0.6814 | 0.7679 |
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- | 0.5298 | 17.0 | 1071 | 0.6810 | 0.7708 |
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- | 0.5277 | 18.0 | 1134 | 0.6798 | 0.7708 |
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- | 0.5264 | 19.0 | 1197 | 0.6799 | 0.7708 |
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- | 0.5265 | 20.0 | 1260 | 0.6797 | 0.7708 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6919
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+ - Accuracy: 0.7679
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.1171 | 1.0 | 63 | 1.8775 | 0.2946 |
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+ | 1.6139 | 2.0 | 126 | 1.3619 | 0.5476 |
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+ | 1.1727 | 3.0 | 189 | 1.1003 | 0.6577 |
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+ | 0.9586 | 4.0 | 252 | 0.9665 | 0.7232 |
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+ | 0.8409 | 5.0 | 315 | 0.8663 | 0.7440 |
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+ | 0.7632 | 6.0 | 378 | 0.8322 | 0.7381 |
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+ | 0.7093 | 7.0 | 441 | 0.8039 | 0.7470 |
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+ | 0.6667 | 8.0 | 504 | 0.7722 | 0.75 |
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+ | 0.6353 | 9.0 | 567 | 0.7477 | 0.7560 |
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+ | 0.6101 | 10.0 | 630 | 0.7304 | 0.7589 |
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+ | 0.5894 | 11.0 | 693 | 0.7229 | 0.7649 |
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+ | 0.5737 | 12.0 | 756 | 0.7130 | 0.7619 |
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+ | 0.5627 | 13.0 | 819 | 0.7033 | 0.7649 |
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+ | 0.5524 | 14.0 | 882 | 0.7009 | 0.7649 |
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+ | 0.5439 | 15.0 | 945 | 0.6945 | 0.7679 |
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+ | 0.5397 | 16.0 | 1008 | 0.6937 | 0.7649 |
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+ | 0.5357 | 17.0 | 1071 | 0.6933 | 0.7679 |
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+ | 0.5337 | 18.0 | 1134 | 0.6919 | 0.7679 |
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+ | 0.5322 | 19.0 | 1197 | 0.6921 | 0.7679 |
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+ | 0.5325 | 20.0 | 1260 | 0.6919 | 0.7679 |
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  ### Framework versions
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