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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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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 |
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results: |
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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: GTZAN |
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type: marsyas/gtzan |
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config: all |
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split: train |
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args: all |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.83 |
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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: 1.1893 |
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- Accuracy: 0.83 |
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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: 20 |
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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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| 1.9486 | 1.0 | 225 | 1.8744 | 0.54 | |
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| 1.0616 | 2.0 | 450 | 1.2196 | 0.66 | |
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| 1.0193 | 3.0 | 675 | 0.7841 | 0.78 | |
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| 0.81 | 4.0 | 900 | 0.7212 | 0.8 | |
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| 0.2171 | 5.0 | 1125 | 0.7194 | 0.77 | |
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| 0.0458 | 6.0 | 1350 | 0.8966 | 0.81 | |
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| 0.3485 | 7.0 | 1575 | 0.7960 | 0.81 | |
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| 0.09 | 8.0 | 1800 | 1.0860 | 0.82 | |
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| 0.0031 | 9.0 | 2025 | 0.7744 | 0.84 | |
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| 0.0026 | 10.0 | 2250 | 0.8249 | 0.87 | |
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| 0.0032 | 11.0 | 2475 | 1.0680 | 0.84 | |
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| 0.0012 | 12.0 | 2700 | 1.0724 | 0.83 | |
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| 0.0011 | 13.0 | 2925 | 1.1407 | 0.83 | |
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| 0.0009 | 14.0 | 3150 | 1.0395 | 0.85 | |
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| 0.0007 | 15.0 | 3375 | 1.2991 | 0.83 | |
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| 0.0006 | 16.0 | 3600 | 1.1403 | 0.83 | |
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| 0.0007 | 17.0 | 3825 | 1.0837 | 0.83 | |
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| 0.0005 | 18.0 | 4050 | 1.1463 | 0.83 | |
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| 0.0005 | 19.0 | 4275 | 1.1987 | 0.83 | |
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| 0.0005 | 20.0 | 4500 | 1.1893 | 0.83 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4.dev0 |
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- Tokenizers 0.13.3 |
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