End of training
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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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metrics:
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- accuracy
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# cifar10-vit-base-patch16-224-in21k
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.0343
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- Accuracy: 0.9916
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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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- vision
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- generated_from_trainer
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metrics:
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- accuracy
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# cifar10-vit-base-patch16-224-in21k
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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 cifar10 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0343
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- Accuracy: 0.9916
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.9916,
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"eval_loss": 0.034325700253248215,
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"eval_runtime": 26.1184,
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"eval_samples_per_second": 287.154,
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"eval_steps_per_second": 35.913,
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"train_loss": 0.24297491548954178,
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"train_runtime": 9405.5545,
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"train_samples_per_second": 45.186,
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"train_steps_per_second": 5.649
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.9916,
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"eval_loss": 0.034325700253248215,
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"eval_runtime": 26.1184,
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"eval_samples_per_second": 287.154,
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"eval_steps_per_second": 35.913
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}
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runs/Aug16_14-05-48_kwangryeol-OMEN-30L-Desktop-GT13-1xxx/events.out.tfevents.1723794233.kwangryeol-OMEN-30L-Desktop-GT13-1xxx.2820683.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:56c5f0f045f6be7ac6d2ae18c376d63acb1f2541f07462d7af9815755bb1b57c
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size 417
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 0.24297491548954178,
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"train_runtime": 9405.5545,
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"train_samples_per_second": 45.186,
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"train_steps_per_second": 5.649
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}
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trainer_state.json
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