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sfedar
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distilhubert-finetuned-gtzan

Audio Classification
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Safetensors
hubert
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1 Parent(s): 2bafbd1

End of training, 9 epochs, 4 batch size, writer batch size: 1000, 1 gradient accumulation steps, learning rate: 5e-05, 30 s

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  1. README.md +10 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -32,7 +32,7 @@ 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: 0.6050
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  - Accuracy: 0.82
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  ## Model description
@@ -66,15 +66,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.9557 | 1.0 | 113 | 1.9166 | 0.41 |
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- | 1.1928 | 2.0 | 226 | 1.2556 | 0.67 |
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- | 1.0954 | 3.0 | 339 | 1.0473 | 0.72 |
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- | 0.6237 | 4.0 | 452 | 0.8854 | 0.72 |
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- | 0.4856 | 5.0 | 565 | 0.6624 | 0.84 |
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- | 0.344 | 6.0 | 678 | 0.6091 | 0.82 |
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- | 0.2819 | 7.0 | 791 | 0.6306 | 0.8 |
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- | 0.1515 | 8.0 | 904 | 0.5855 | 0.82 |
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- | 0.2444 | 9.0 | 1017 | 0.6050 | 0.82 |
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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: 0.5819
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  - Accuracy: 0.82
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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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+ | 1.9236 | 1.0 | 113 | 1.8095 | 0.51 |
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+ | 1.1771 | 2.0 | 226 | 1.2024 | 0.66 |
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+ | 1.0227 | 3.0 | 339 | 1.0044 | 0.71 |
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+ | 0.6925 | 4.0 | 452 | 0.8156 | 0.76 |
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+ | 0.5823 | 5.0 | 565 | 0.6761 | 0.79 |
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+ | 0.3919 | 6.0 | 678 | 0.6031 | 0.79 |
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+ | 0.3968 | 7.0 | 791 | 0.6003 | 0.83 |
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+ | 0.1533 | 8.0 | 904 | 0.5785 | 0.81 |
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+ | 0.2358 | 9.0 | 1017 | 0.5819 | 0.82 |
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  ### Framework versions
model.safetensors CHANGED
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