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--- |
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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 the GTZAN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6376 |
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- Accuracy: 0.85 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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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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| 1.7703 | 1.0 | 225 | 1.6440 | 0.45 | |
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| 0.9968 | 2.0 | 450 | 1.1709 | 0.6 | |
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| 0.3874 | 3.0 | 675 | 0.7769 | 0.77 | |
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| 0.8894 | 4.0 | 900 | 0.5280 | 0.84 | |
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| 0.1964 | 5.0 | 1125 | 0.6280 | 0.84 | |
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| 0.2273 | 6.0 | 1350 | 0.6823 | 0.82 | |
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| 0.0686 | 7.0 | 1575 | 0.6527 | 0.85 | |
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| 0.1212 | 8.0 | 1800 | 0.5111 | 0.86 | |
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| 0.014 | 9.0 | 2025 | 0.5715 | 0.86 | |
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| 0.012 | 10.0 | 2250 | 0.6376 | 0.85 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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