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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-in21k |
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tags: |
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- image-classification |
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- vision |
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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-cifar100-cifar100 |
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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-cifar100-cifar100 |
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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 the cifar100 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2851 |
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- Accuracy: 0.9252 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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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: 5.0 |
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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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| 1.0634 | 1.0 | 5313 | 0.7235 | 0.8777 | |
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| 0.7839 | 2.0 | 10626 | 0.3731 | 0.9056 | |
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| 0.5749 | 3.0 | 15939 | 0.3214 | 0.9153 | |
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| 0.3432 | 4.0 | 21252 | 0.2990 | 0.9209 | |
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| 0.4763 | 5.0 | 26565 | 0.2851 | 0.9252 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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