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End of training
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README.md
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder 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: 0.8261
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## Model description
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- seed: 123
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7088
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- Accuracy: 0.8261
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## Model description
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- seed: 123
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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runs/Jul02_18-45-36_DesMar/events.out.tfevents.1719939612.DesMar.9924.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:4864fdc863cebb2d1d2dfac8fbdadfdf8bacd2bd6224a4858bff0eece9c54bf0
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size 405
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