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End of training

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  1. README.md +4 -4
README.md CHANGED
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  ---
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  library_name: transformers
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  license: apache-2.0
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- 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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  metrics:
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  - accuracy
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  model-index:
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- - name: music-classifier-genre-finetuned-gtzan
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  results:
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  - task:
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  name: Audio Classification
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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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  should probably proofread and complete it, then remove this comment. -->
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- # music-classifier-genre-finetuned-gtzan
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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: 0.8145
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  - Accuracy: 0.83
 
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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: sanchit-gandhi/distilhubert-finetuned-gtzan
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  tags:
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  - generated_from_trainer
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  datasets:
 
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  metrics:
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  - accuracy
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  model-index:
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+ - name: Mawaddaa/distilhubert-finetuned-gtzan
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  results:
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  - task:
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  name: Audio Classification
 
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # Mawaddaa/distilhubert-finetuned-gtzan
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+ This model is a fine-tuned version of [sanchit-gandhi/distilhubert-finetuned-gtzan](https://huggingface.co/sanchit-gandhi/distilhubert-finetuned-gtzan) on the GTZAN dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8145
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  - Accuracy: 0.83