🍻 cheers
Browse files- README.md +4 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +661 -0
README.md
CHANGED
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license: apache-2.0
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base_model: microsoft/swin-tiny-patch4-window7-224
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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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@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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# swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2
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-
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on
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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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license: apache-2.0
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base_model: microsoft/swin-tiny-patch4-window7-224
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tags:
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+
- image-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# swin-tiny-patch4-window7-224-finetuned_ASL_Isolated_Swin_dataset2
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+
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the ASL_Isolated_Swin_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0640
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- Accuracy: 0.9846
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## Model description
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.9846153846153847,
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"eval_loss": 0.06404715776443481,
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"eval_runtime": 2.1321,
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"eval_samples_per_second": 121.943,
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"eval_steps_per_second": 15.477,
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"total_flos": 3.651306173035315e+17,
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"train_loss": 0.6966753153697304,
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"train_runtime": 217.2288,
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"train_samples_per_second": 67.579,
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"train_steps_per_second": 4.235
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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": 0.9846153846153847,
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"eval_loss": 0.06404715776443481,
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"eval_runtime": 2.1321,
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"eval_samples_per_second": 121.943,
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"eval_steps_per_second": 15.477
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}
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train_results.json
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"epoch": 10.0,
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"train_steps_per_second": 4.235
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}
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trainer_state.json
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