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--- |
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license: apache-2.0 |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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datasets: |
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- common_language |
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metrics: |
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- accuracy |
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model-index: |
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- name: distilhubert-ft-common-language |
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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-ft-common-language |
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the common_language dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7214 |
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- Accuracy: 0.2797 |
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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: 32 |
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- eval_batch_size: 4 |
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- seed: 0 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 10.0 |
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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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| 3.6543 | 1.0 | 173 | 3.7611 | 0.0491 | |
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| 3.2221 | 2.0 | 346 | 3.4868 | 0.1352 | |
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| 2.9332 | 3.0 | 519 | 3.2732 | 0.1861 | |
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| 2.7299 | 4.0 | 692 | 3.0944 | 0.2172 | |
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| 2.5638 | 5.0 | 865 | 2.9790 | 0.2400 | |
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| 2.3871 | 6.0 | 1038 | 2.8668 | 0.2590 | |
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| 2.3384 | 7.0 | 1211 | 2.7972 | 0.2653 | |
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| 2.2648 | 8.0 | 1384 | 2.7625 | 0.2695 | |
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| 2.2162 | 9.0 | 1557 | 2.7405 | 0.2782 | |
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| 2.1915 | 10.0 | 1730 | 2.7214 | 0.2797 | |
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### Framework versions |
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- Transformers 4.12.0.dev0 |
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- Pytorch 1.9.1+cu111 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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