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End of training

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README.md CHANGED
@@ -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-base-patch16-224-in21k](https://huggingface.co/google/vit-base-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: 0.0377
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- - Accuracy: 0.9856
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  ## Model description
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@@ -41,8 +41,8 @@ The following hyperparameters were used during training:
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 1337
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- - gradient_accumulation_steps: 16
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- - total_train_batch_size: 256
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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
@@ -52,11 +52,11 @@ 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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- | 0.1914 | 1.0 | 25 | 0.1001 | 0.9631 |
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- | 0.0671 | 2.0 | 50 | 0.0537 | 0.9844 |
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- | 0.0554 | 3.0 | 75 | 0.0427 | 0.9862 |
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- | 0.0332 | 4.0 | 100 | 0.0416 | 0.99 |
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- | 0.029 | 5.0 | 125 | 0.0377 | 0.9856 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-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: 0.0422
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+ - Accuracy: 0.9833
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  ## Model description
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 1337
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0941 | 1.0 | 106 | 0.0764 | 0.9708 |
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+ | 0.0769 | 2.0 | 212 | 0.0707 | 0.9733 |
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+ | 0.0505 | 2.99 | 318 | 0.0718 | 0.9675 |
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+ | 0.0314 | 4.0 | 425 | 0.0494 | 0.9817 |
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+ | 0.0274 | 4.99 | 530 | 0.0514 | 0.9817 |
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  ### Framework versions
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