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README.md
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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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_steps: 100
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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### Framework versions
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0242
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- Precision: 0.9935
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- Recall: 0.9934
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## Model description
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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_steps: 100
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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| 0.1176 | 1.0 | 190 | 0.0644 | 0.9836 | 0.9828 |
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| 0.0515 | 2.0 | 380 | 0.0281 | 0.9934 | 0.9934 |
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| 0.0189 | 3.0 | 570 | 0.0242 | 0.9935 | 0.9934 |
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### Framework versions
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