| --- |
| pipeline_tag: image-classification |
| library_name: transformers |
| base_model: google/vit-base-patch16-224 |
| model-index: |
| - name: vit-cifar2-tiny-demo |
| results: [] |
| datasets: |
| - uoft-cs/cifar10 |
| tags: |
| - generated_from_trainer |
| - vit |
| - image-classification |
| - cats-vs-dogs |
| license: apache-2.0 |
| --- |
| |
| <!-- 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-cifar2-tiny-demo |
|
|
| This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the None dataset. |
|
|
| ## Model description |
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| 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 |
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| 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: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
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| ### Training results |
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| ### Framework versions |
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| - Transformers 4.52.4 |
| - Pytorch 2.7.1+cpu |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
