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update model card README.md
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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.
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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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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.
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- Tokenizers 0.13.3
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.85
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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: 0.8389
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- Accuracy: 0.85
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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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| 2.2212 | 1.0 | 113 | 2.1403 | 0.33 |
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| 1.7338 | 2.0 | 226 | 1.7175 | 0.38 |
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| 1.6091 | 3.0 | 339 | 1.2717 | 0.63 |
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| 1.486 | 4.0 | 452 | 1.1239 | 0.66 |
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| 0.9635 | 5.0 | 565 | 0.8998 | 0.75 |
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| 0.7295 | 6.0 | 678 | 0.7689 | 0.77 |
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| 0.6776 | 7.0 | 791 | 0.5876 | 0.81 |
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| 0.4629 | 8.0 | 904 | 0.5705 | 0.82 |
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| 0.5087 | 9.0 | 1017 | 0.5388 | 0.83 |
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| 0.2993 | 10.0 | 1130 | 0.6192 | 0.83 |
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| 0.0446 | 11.0 | 1243 | 0.6592 | 0.81 |
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| 0.1498 | 12.0 | 1356 | 0.7227 | 0.82 |
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| 0.0139 | 13.0 | 1469 | 0.6565 | 0.83 |
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| 0.1203 | 14.0 | 1582 | 0.8235 | 0.83 |
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| 0.3866 | 15.0 | 1695 | 0.6868 | 0.84 |
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| 0.2157 | 16.0 | 1808 | 0.8739 | 0.83 |
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| 0.1954 | 17.0 | 1921 | 0.8418 | 0.84 |
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| 0.0051 | 18.0 | 2034 | 0.8042 | 0.84 |
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| 0.0777 | 19.0 | 2147 | 0.8573 | 0.84 |
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| 0.2714 | 20.0 | 2260 | 0.8389 | 0.85 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.2
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- Tokenizers 0.13.3
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