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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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- 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_Guava |
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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_Guava |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0036 |
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- Accuracy: 1.0 |
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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: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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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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| 0.1092 | 0.4651 | 100 | 0.0675 | 0.9918 | |
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| 0.0334 | 0.9302 | 200 | 0.0861 | 0.9785 | |
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| 0.0188 | 1.3953 | 300 | 0.0506 | 0.9847 | |
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| 0.0074 | 1.8605 | 400 | 0.0236 | 0.9949 | |
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| 0.016 | 2.3256 | 500 | 0.0092 | 0.9980 | |
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| 0.0041 | 2.7907 | 600 | 0.0044 | 1.0 | |
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| 0.0038 | 3.2558 | 700 | 0.0039 | 1.0 | |
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| 0.0035 | 3.7209 | 800 | 0.0036 | 1.0 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Tokenizers 0.21.0 |
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