| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: vit-base-patch16-224-v21 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # vit-base-patch16-224-v21 |
|
|
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0347 |
| - Accuracy: 0.99 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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| More information needed |
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|
| ## Training and evaluation data |
|
|
| More information needed |
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|
| ## Training procedure |
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|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0005 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 8 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.2951 | 1.0 | 190 | 0.1895 | 0.9333 | |
| | 0.2013 | 2.0 | 380 | 0.0813 | 0.9726 | |
| | 0.1935 | 3.0 | 570 | 0.0902 | 0.9681 | |
| | 0.1858 | 4.0 | 760 | 0.0916 | 0.9674 | |
| | 0.118 | 5.0 | 950 | 0.0481 | 0.9833 | |
| | 0.0834 | 6.0 | 1140 | 0.0578 | 0.9841 | |
| | 0.0986 | 7.0 | 1330 | 0.0418 | 0.9870 | |
| | 0.0737 | 8.0 | 1520 | 0.0347 | 0.99 | |
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| ### Framework versions |
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|
| - Transformers 4.29.2 |
| - Pytorch 2.0.1+cu118 |
| - Tokenizers 0.13.3 |
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|
