Model save
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README.md
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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: finetuned-bangladeshi-traditional-food
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results: []
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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.
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: finetuned-bangladeshi-traditional-food
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results: []
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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: 0.3499
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- Accuracy: 0.9346
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- Precision: 0.9405
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- Recall: 0.9346
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- F1: 0.9346
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.1145 | 1.0 | 48 | 0.8835 | 0.9084 | 0.9187 | 0.9084 | 0.9099 |
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| 0.5302 | 2.0 | 96 | 0.5353 | 0.9136 | 0.9230 | 0.9136 | 0.9149 |
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| 0.2934 | 3.0 | 144 | 0.4103 | 0.9188 | 0.9281 | 0.9188 | 0.9196 |
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| 0.251 | 4.0 | 192 | 0.3499 | 0.9346 | 0.9405 | 0.9346 | 0.9346 |
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### Framework versions
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model.safetensors
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