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End of training
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README.md
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@@ -4,7 +4,7 @@ base_model: ntu-spml/distilhubert
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tags:
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- generated_from_trainer
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datasets:
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- gtzan
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metrics:
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- accuracy
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model-index:
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@@ -14,8 +14,8 @@ model-index:
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name: Audio Classification
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type: audio-classification
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dataset:
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name:
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type: gtzan
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config: default
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split: train
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args: default
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@@ -30,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
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# distilhubert-finetuned-gtzan-bs-16
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.5229
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- Accuracy: 0.87
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tags:
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- generated_from_trainer
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datasets:
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- marsyas/gtzan
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metrics:
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- accuracy
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model-index:
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name: Audio Classification
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type: audio-classification
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dataset:
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name: GTZAN
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type: marsyas/gtzan
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config: default
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split: train
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args: default
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# distilhubert-finetuned-gtzan-bs-16
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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: 0.5229
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- Accuracy: 0.87
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