End of training
Browse files- README.md +5 -5
- all_results.json +8 -0
- eval_results.json +11 -0
- runs/Jan11_15-01-00_cfbcec8a46fc/events.out.tfevents.1704994804.cfbcec8a46fc.419.1 +3 -0
- trainer_state.json +12 -0
README.md
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 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](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3774
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- Precision: 0.8587
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- Recall: 0.9317
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- F1: 0.8937
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- Accuracy: 0.8924
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## Model description
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all_results.json
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"epoch": 6.0,
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"total_flos": 1.4238223187805905e+19,
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"train_loss": 0.13623220103334482,
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"train_runtime": 9420.2145,
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{
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"epoch": 6.0,
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"eval_accuracy": 0.8923719958202717,
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"eval_f1": 0.8937048503611971,
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"eval_loss": 0.37740620970726013,
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"eval_precision": 0.858701041150223,
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"eval_recall": 0.9316837009144702,
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"eval_runtime": 109.2986,
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"eval_samples_per_second": 35.023,
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"eval_steps_per_second": 0.549,
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"total_flos": 1.4238223187805905e+19,
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"train_loss": 0.13623220103334482,
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"train_runtime": 9420.2145,
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eval_results.json
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{
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"epoch": 6.0,
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"eval_accuracy": 0.8923719958202717,
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"eval_f1": 0.8937048503611971,
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"eval_loss": 0.37740620970726013,
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"eval_precision": 0.858701041150223,
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"eval_recall": 0.9316837009144702,
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"eval_runtime": 109.2986,
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"eval_samples_per_second": 35.023,
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"eval_steps_per_second": 0.549
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}
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runs/Jan11_15-01-00_cfbcec8a46fc/events.out.tfevents.1704994804.cfbcec8a46fc.419.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed51c70db0f243f9c9cce6a5e4769de7abe8de4104417e46603fcf7a60b62834
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size 560
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trainer_state.json
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"train_runtime": 9420.2145,
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"train_samples_per_second": 19.505,
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"train_steps_per_second": 0.203
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}
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],
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"logging_steps": 10,
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"train_runtime": 9420.2145,
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"train_samples_per_second": 19.505,
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"train_steps_per_second": 0.203
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},
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{
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"epoch": 6.0,
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"eval_accuracy": 0.8923719958202717,
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"eval_f1": 0.8937048503611971,
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"eval_loss": 0.37740620970726013,
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"eval_precision": 0.858701041150223,
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"eval_recall": 0.9316837009144702,
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"eval_runtime": 109.2986,
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"eval_samples_per_second": 35.023,
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"eval_steps_per_second": 0.549,
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"step": 1914
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"logging_steps": 10,
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