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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: openai/whisper-tiny.en |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: dysarthria-tiny-en |
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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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# dysarthria-tiny-en |
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2870 |
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- Wer: 52.8131 |
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- Cer: 36.9112 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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_steps: 500 |
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- training_steps: 5000 |
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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 | Wer | Cer | |
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|:-------------:|:--------:|:----:|:---------------:|:--------:|:--------:| |
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| 0.0255 | 13.5135 | 500 | 0.4034 | 199.4555 | 178.1629 | |
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| 0.0005 | 27.0270 | 1000 | 0.2994 | 17.9673 | 11.4738 | |
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| 0.0002 | 40.5405 | 1500 | 0.2941 | 17.2414 | 11.1373 | |
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| 0.0002 | 54.0541 | 2000 | 0.2917 | 16.6969 | 10.7672 | |
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| 0.0001 | 67.5676 | 2500 | 0.2892 | 15.9710 | 10.3634 | |
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| 0.0001 | 81.0811 | 3000 | 0.2886 | 53.7205 | 37.3486 | |
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| 0.0001 | 94.5946 | 3500 | 0.2882 | 53.1760 | 37.2813 | |
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| 0.0001 | 108.1081 | 4000 | 0.2881 | 53.1760 | 37.3486 | |
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| 0.0001 | 121.6216 | 4500 | 0.2870 | 52.8131 | 36.9112 | |
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| 0.0 | 135.1351 | 5000 | 0.2870 | 52.8131 | 36.9112 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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