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README.md
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# distilhubert-finetuned-gtzan
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This model is a fine-tuned version of [MariaK/distilhubert-finetuned-gtzan-v2](https://huggingface.co/MariaK/distilhubert-finetuned-gtzan-v2) on the GTZAN dataset.
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 0.01
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.02 | 2 | 0.4905 | 0.89 |
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### Framework versions
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- Transformers 4.30.2
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# distilhubert-finetuned-gtzan
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This model is a fine-tuned version of [MariaK/distilhubert-finetuned-gtzan-v2](https://huggingface.co/MariaK/distilhubert-finetuned-gtzan-v2) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.4883
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- eval_accuracy: 0.87
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- eval_runtime: 25.6473
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- eval_samples_per_second: 3.899
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- eval_steps_per_second: 0.507
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- step: 0
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 0.01
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### Framework versions
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- Transformers 4.30.2
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