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@@ -8,6 +8,8 @@ metrics:
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  model-index:
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  - name: distilhubert-finetuned-gtzan-v2
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  results: []
 
 
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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
@@ -18,7 +20,7 @@ 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: 0.5528
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- - Accuracy: 0.86
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  ## Model description
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@@ -90,4 +92,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.39.2
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  - Pytorch 1.13.0+cu117
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  - Datasets 2.16.1
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- - Tokenizers 0.15.1
 
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  model-index:
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  - name: distilhubert-finetuned-gtzan-v2
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  results: []
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+ datasets:
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+ - marsyas/gtzan
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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: 0.5528
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+ - Accuracy: 0.87
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  ## Model description
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  - Transformers 4.39.2
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  - Pytorch 1.13.0+cu117
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  - Datasets 2.16.1
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+ - Tokenizers 0.15.1