correct eval and test scores
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README.md
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This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6441
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- Accuracy: 0.6318
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- Recall: 0.8191
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This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6306
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- Accuracy: 0.6486
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- Recall: 0.8368
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- Precision: 0.6136
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- F1: 0.7080
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And the following results on the test set:
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- Loss: 0.6441
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- Accuracy: 0.6318
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- Recall: 0.8191
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