Model save
Browse files- README.md +72 -0
- model.safetensors +1 -1
README.md
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 343227052
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version https://git-lfs.github.com/spec/v1
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size 343227052
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