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Model save

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  1. README.md +5 -8
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0397
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- - Accuracy: 0.9916
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  ## Model description
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@@ -43,17 +43,14 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 1
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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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- | 0.004 | 0.17 | 100 | 0.0441 | 0.9903 |
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- | 0.0025 | 0.34 | 200 | 0.0424 | 0.9903 |
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- | 0.0019 | 0.5 | 300 | 0.0406 | 0.9908 |
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- | 0.0015 | 0.67 | 400 | 0.0398 | 0.9916 |
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- | 0.0019 | 0.84 | 500 | 0.0397 | 0.9916 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0230
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+ - Accuracy: 0.9941
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 2
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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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+ | 0.0047 | 0.67 | 100 | 0.0283 | 0.9929 |
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+ | 0.0165 | 1.34 | 200 | 0.0230 | 0.9941 |
 
 
 
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  ### Framework versions