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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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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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--- |
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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 [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1809 |
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- Accuracy: 0.8231 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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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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| 1.0783 | 1.0 | 874 | 1.1569 | 0.6234 | |
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| 0.4485 | 2.0 | 1748 | 0.8199 | 0.7499 | |
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| 0.3201 | 3.0 | 2622 | 0.7982 | 0.7705 | |
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| 0.3439 | 4.0 | 3496 | 0.8584 | 0.8025 | |
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| 0.2061 | 5.0 | 4370 | 0.9085 | 0.8065 | |
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| 0.0801 | 6.0 | 5244 | 0.9950 | 0.8134 | |
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| 0.0178 | 7.0 | 6118 | 1.0729 | 0.8168 | |
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| 0.0002 | 8.0 | 6992 | 1.1714 | 0.8180 | |
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| 0.0001 | 9.0 | 7866 | 1.1886 | 0.8226 | |
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| 0.0001 | 10.0 | 8740 | 1.1809 | 0.8231 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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