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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224 |
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tags: |
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- image-classification |
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- animals |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: vit-base-animals10 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# vit-base-animals10 |
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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 the Rapidata/Animals-10 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0784 |
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- Accuracy: 0.9762 |
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## 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: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 5 |
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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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| 0.0997 | 1.0 | 2356 | 0.0928 | 0.9732 | |
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| 0.0752 | 2.0 | 4712 | 0.0678 | 0.9809 | |
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| 0.0743 | 3.0 | 7068 | 0.0584 | 0.9839 | |
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| 0.0882 | 4.0 | 9424 | 0.0605 | 0.9792 | |
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| 0.0656 | 5.0 | 11780 | 0.0653 | 0.9813 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.7.0+cu128 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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