End of training
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README.md
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metrics:
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- accuracy
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model-index:
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- name: distilhubert-finetuned-gtzan
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results:
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- task:
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name: Audio Classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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should probably proofread and complete it, then remove this comment. -->
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# distilhubert-finetuned-gtzan
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This model is a fine-tuned version of [gnuevo/distilhubert-finetuned-gtzan](https://huggingface.co/gnuevo/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.
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- Accuracy: 0.
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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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### Framework versions
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metrics:
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- accuracy
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model-index:
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- name: distilhubert-finetuned-gtzan-finetuned-gtzan
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results:
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- task:
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name: Audio Classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.86
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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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should probably proofread and complete it, then remove this comment. -->
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+
# distilhubert-finetuned-gtzan-finetuned-gtzan
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This model is a fine-tuned version of [gnuevo/distilhubert-finetuned-gtzan](https://huggingface.co/gnuevo/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: 0.6268
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- Accuracy: 0.86
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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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| 2.2951 | 1.0 | 57 | 2.3060 | 0.09 |
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| 2.1105 | 2.0 | 114 | 2.1233 | 0.57 |
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| 1.4664 | 3.0 | 171 | 1.5734 | 0.61 |
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| 0.8475 | 4.0 | 228 | 1.1321 | 0.66 |
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| 0.467 | 5.0 | 285 | 0.8660 | 0.73 |
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| 0.2699 | 6.0 | 342 | 0.7317 | 0.84 |
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| 0.1908 | 7.0 | 399 | 0.6568 | 0.86 |
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| 0.2298 | 8.0 | 456 | 0.6328 | 0.86 |
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| 0.2495 | 9.0 | 513 | 0.6270 | 0.86 |
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| 0.3529 | 10.0 | 570 | 0.6268 | 0.86 |
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### Framework versions
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model.safetensors
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