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--- |
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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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- 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-patch16-224-masaratti |
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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-patch16-224-masaratti |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2993 |
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- Accuracy: 0.8806 |
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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: 0.0002 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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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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| 0.6663 | 1.0 | 10 | 0.8463 | 0.6269 | |
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| 0.4895 | 2.0 | 20 | 0.6918 | 0.6940 | |
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| 0.3694 | 3.0 | 30 | 0.5267 | 0.7612 | |
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| 0.2751 | 4.0 | 40 | 0.3793 | 0.8433 | |
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| 0.2724 | 5.0 | 50 | 0.4968 | 0.7836 | |
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| 0.1872 | 6.0 | 60 | 0.2743 | 0.9030 | |
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| 0.1388 | 7.0 | 70 | 0.3087 | 0.8657 | |
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| 0.1249 | 8.0 | 80 | 0.2829 | 0.8731 | |
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| 0.1006 | 9.0 | 90 | 0.3123 | 0.8881 | |
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| 0.0973 | 10.0 | 100 | 0.2993 | 0.8806 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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