🍻 cheers
Browse files- README.md +7 -6
- all_results.json +12 -12
- eval_results.json +8 -8
- runs/Mar20_16-50-20_f2e1fee5f9b2/events.out.tfevents.1710955250.f2e1fee5f9b2.2315.7 +3 -0
- train_results.json +4 -4
- trainer_state.json +139 -139
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-lr-cosine-restarts
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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: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 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-lr-cosine-restarts
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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 skin-cancer dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4929
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- Accuracy: 0.8263
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- Precision: 0.8255
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- Recall: 0.8263
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- F1: 0.8158
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## Model description
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all_results.json
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runs/Mar20_16-50-20_f2e1fee5f9b2/events.out.tfevents.1710955250.f2e1fee5f9b2.2315.7
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