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--- |
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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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- vision |
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- VIT Transformer |
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- generated_from_trainer |
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model-index: |
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- name: vit-fine-tune-CIFAR-10-100Epochs-v1 |
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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-fine-tune-CIFAR-10-100Epochs-v1 |
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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 CIFAR 10 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1420 |
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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: 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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.0361 | 1.0 | 6250 | 0.1444 | |
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| 0.0075 | 2.0 | 12500 | 0.1456 | |
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| 0.0006 | 3.0 | 18750 | 0.1818 | |
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| 0.1435 | 4.0 | 25000 | 0.1572 | |
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| 0.0002 | 5.0 | 31250 | 0.1389 | |
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| 0.0004 | 6.0 | 37500 | 0.1366 | |
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| 0.0 | 7.0 | 43750 | 0.1531 | |
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| 0.0 | 8.0 | 50000 | 0.1327 | |
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| 0.0 | 9.0 | 56250 | 0.1483 | |
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| 0.0 | 10.0 | 62500 | 0.1420 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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