🍻 cheers
Browse files- README.md +5 -4
- all_results.json +11 -11
- eval_results.json +7 -7
- runs/Mar27_20-06-26_ryanserver/events.out.tfevents.1711586196.ryanserver.24064.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +417 -417
README.md
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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model-index:
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- name: ryan_model3272024
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# ryan_model3272024
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Na Accuracy: 0.95
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- Ordinal Accuracy: 0.
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- Ordinal Mae: 1.
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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-in21k
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tags:
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- image-classification
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- generated_from_trainer
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model-index:
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- name: ryan_model3272024
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# ryan_model3272024
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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 beans dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2552
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- Na Accuracy: 0.95
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- Ordinal Accuracy: 0.6267
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- Ordinal Mae: 1.1586
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## Model description
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all_results.json
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runs/Mar27_20-06-26_ryanserver/events.out.tfevents.1711586196.ryanserver.24064.1
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