milkymarky
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milkymarky
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README.md
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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.
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- Accuracy: 0.
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## Model description
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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: 0.1622
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- Accuracy: 0.9609
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## Model description
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all_results.json
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{
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"epoch": 4.0,
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"total_flos": 3.205097416476426e+17,
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"train_loss": 0.12077335517566938,
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"train_runtime": 98.1926,
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9609375,
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"eval_loss": 0.16221070289611816,
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"eval_runtime": 2.1151,
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"eval_samples_per_second": 60.518,
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"eval_steps_per_second": 7.565,
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"total_flos": 3.205097416476426e+17,
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"train_loss": 0.12077335517566938,
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"train_runtime": 98.1926,
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runs/Jul08_07-18-50_5bc5fb378f1b/events.out.tfevents.1720424130.5bc5fb378f1b.24589.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc5e5bb4065bf50d1b546d71a3b70145db38881fb7a16057cd7b4049600f9214
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size 411
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test_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9609375,
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"eval_loss": 0.16221070289611816,
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"eval_runtime": 2.1151,
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"eval_samples_per_second": 60.518,
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"eval_steps_per_second": 7.565
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}
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