🍻 cheers
Browse files- README.md +5 -4
- all_results.json +10 -10
- eval_results.json +6 -6
- runs/Mar26_19-55-16_ryanserver/events.out.tfevents.1711499103.ryanserver.31878.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +925 -125
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_model314
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# ryan_model314
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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.
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- Ordinal 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-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_model314
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# ryan_model314
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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: 0.2404
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- Na Accuracy: 0.96
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- Ordinal Accuracy: 0.5921
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## Model description
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all_results.json
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"epoch": 4.0,
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"eval_accuracy": 0.628,
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"train_samples_per_second": 11.461,
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"train_steps_per_second": 0.717
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}
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eval_results.json
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"epoch": 4.0,
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"eval_ordinal_accuracy": 0.5920745920745921,
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"eval_runtime": 19.2933,
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"eval_samples_per_second": 25.916,
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"eval_steps_per_second": 3.265
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}
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runs/Mar26_19-55-16_ryanserver/events.out.tfevents.1711499103.ryanserver.31878.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2880e2c2215eaef570c0be996f15cabceae3651e279b2ce21eac8443260ed04c
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size 474
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train_results.json
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trainer_state.json
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