Brain MRI 🧠 fine tune - 5 more epochs.
Browse files- README.md +4 -3
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/Aug25_15-08-58_DESKTOP-4SGMSGR/events.out.tfevents.1724587887.DESKTOP-4SGMSGR.35484.4 +3 -0
- train_results.json +6 -6
- trainer_state.json +87 -14
README.md
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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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# vit-base-brain-mri
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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
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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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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- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# vit-base-brain-mri
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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 the BrainMRI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1441
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- Accuracy: 0.5457
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## Model description
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all_results.json
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eval_results.json
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runs/Aug25_15-08-58_DESKTOP-4SGMSGR/events.out.tfevents.1724587887.DESKTOP-4SGMSGR.35484.4
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version https://git-lfs.github.com/spec/v1
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size 363
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train_results.json
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