Sohaibsoussi
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Cheers π
Browse files- README.md +4 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Dec10_22-36-13_8460a124220f/events.out.tfevents.1733873345.8460a124220f.23.2 +3 -0
- test_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +983 -767
README.md
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license: apache-2.0
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base_model: Sohaibsoussi/ViT-NIH-Chest-X-ray-dataset-small
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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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# ViT-NIH-Chest-X-ray-dataset-small
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This model is a fine-tuned version of [Sohaibsoussi/ViT-NIH-Chest-X-ray-dataset-small](https://huggingface.co/Sohaibsoussi/ViT-NIH-Chest-X-ray-dataset-small) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy:
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## Model description
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license: apache-2.0
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base_model: Sohaibsoussi/ViT-NIH-Chest-X-ray-dataset-small
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tags:
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- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# ViT-NIH-Chest-X-ray-dataset-small
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This model is a fine-tuned version of [Sohaibsoussi/ViT-NIH-Chest-X-ray-dataset-small](https://huggingface.co/Sohaibsoussi/ViT-NIH-Chest-X-ray-dataset-small) on the Sohaibsoussi/NIH-Chest-X-ray-dataset-small dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6731
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- Accuracy: 0.2189
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## Model description
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all_results.json
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runs/Dec10_22-36-13_8460a124220f/events.out.tfevents.1733873345.8460a124220f.23.2
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