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 GTZAN 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: 0.83
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8444
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- Accuracy: 0.83
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.1376 | 1.0 | 113 | 1.9783 | 0.44 |
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| 1.3879 | 2.0 | 226 | 1.2784 | 0.66 |
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| 1.0967 | 3.0 | 339 | 1.0352 | 0.66 |
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| 0.8639 | 4.0 | 452 | 0.8977 | 0.7 |
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| 0.6308 | 5.0 | 565 | 0.7466 | 0.76 |
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| 0.4585 | 6.0 | 678 | 0.7374 | 0.78 |
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| 0.5213 | 7.0 | 791 | 0.6039 | 0.79 |
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| 0.1958 | 8.0 | 904 | 0.7174 | 0.8 |
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| 0.2075 | 9.0 | 1017 | 0.5657 | 0.85 |
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| 0.1034 | 10.0 | 1130 | 0.6176 | 0.8 |
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| 0.0308 | 11.0 | 1243 | 0.7378 | 0.85 |
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| 0.103 | 12.0 | 1356 | 0.7759 | 0.82 |
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| 0.0131 | 13.0 | 1469 | 0.8104 | 0.83 |
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| 0.0103 | 14.0 | 1582 | 0.8175 | 0.83 |
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| 0.0116 | 15.0 | 1695 | 0.8444 | 0.83 |
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### Framework versions
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pytorch_model.bin
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