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update model card README.md

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.8798
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- - Accuracy: 0.83
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 9e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.4135 | 1.0 | 113 | 1.1206 | 0.84 |
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- | 0.0018 | 2.0 | 226 | 1.4291 | 0.8 |
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- | 0.0004 | 3.0 | 339 | 1.1077 | 0.83 |
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- | 0.0002 | 4.0 | 452 | 0.8798 | 0.83 |
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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: 0.9118
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+ - Accuracy: 0.86
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0452 | 1.0 | 113 | 0.9822 | 0.85 |
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+ | 0.0089 | 2.0 | 226 | 0.9121 | 0.86 |
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+ | 0.0004 | 3.0 | 339 | 0.8943 | 0.86 |
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+ | 0.0002 | 4.0 | 452 | 0.9118 | 0.86 |
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  ### Framework versions