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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- marsyas/gtzan |
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metrics: |
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- accuracy |
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model-index: |
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- name: distilhubert-finetuned-gtzan-1 |
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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-1 |
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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: 0.5778 |
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- Accuracy: 0.82 |
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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: 3e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 14 |
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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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| 2.103 | 1.0 | 112 | 2.1288 | 0.42 | |
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| 1.5948 | 2.0 | 225 | 1.6203 | 0.55 | |
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| 1.3883 | 3.0 | 337 | 1.2437 | 0.69 | |
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| 1.1032 | 4.0 | 450 | 1.0490 | 0.73 | |
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| 0.7595 | 5.0 | 562 | 0.8857 | 0.79 | |
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| 0.812 | 6.0 | 675 | 0.7776 | 0.8 | |
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| 0.4903 | 7.0 | 787 | 0.7682 | 0.78 | |
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| 0.5568 | 8.0 | 900 | 0.7100 | 0.79 | |
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| 0.405 | 9.0 | 1012 | 0.6279 | 0.84 | |
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| 0.5888 | 10.0 | 1125 | 0.6944 | 0.8 | |
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| 0.2576 | 11.0 | 1237 | 0.6027 | 0.83 | |
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| 0.2123 | 12.0 | 1350 | 0.5891 | 0.83 | |
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| 0.2008 | 13.0 | 1462 | 0.5659 | 0.83 | |
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| 0.1343 | 13.94 | 1568 | 0.5778 | 0.82 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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