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--- |
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language: |
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- zh |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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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: openai/whisper-tiny |
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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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# openai/whisper-tiny |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Hanhpt23/ChineseMed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.4161 |
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- Wer: 116.6667 |
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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: 0.0001 |
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- train_batch_size: 8 |
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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: 100 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 2.0985 | 1.0 | 371 | 2.8659 | 188.8889 | |
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| 1.6605 | 2.0 | 742 | 2.8279 | 102.2222 | |
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| 1.2794 | 3.0 | 1113 | 3.0839 | 110.0000 | |
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| 0.7344 | 4.0 | 1484 | 3.4284 | 107.7778 | |
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| 0.4201 | 5.0 | 1855 | 3.6794 | 142.2222 | |
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| 0.1934 | 6.0 | 2226 | 3.8480 | 111.1111 | |
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| 0.0892 | 7.0 | 2597 | 4.0445 | 112.2222 | |
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| 0.0609 | 8.0 | 2968 | 4.1135 | 107.7778 | |
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| 0.0421 | 9.0 | 3339 | 4.2117 | 116.6667 | |
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| 0.0264 | 10.0 | 3710 | 4.3500 | 118.8889 | |
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| 0.0168 | 11.0 | 4081 | 4.2340 | 110.0000 | |
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| 0.0098 | 12.0 | 4452 | 4.3287 | 115.5556 | |
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| 0.0053 | 13.0 | 4823 | 4.3447 | 111.1111 | |
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| 0.0012 | 14.0 | 5194 | 4.3370 | 118.8889 | |
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| 0.0031 | 15.0 | 5565 | 4.3509 | 118.8889 | |
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| 0.0012 | 16.0 | 5936 | 4.3898 | 115.5556 | |
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| 0.0003 | 17.0 | 6307 | 4.3852 | 115.5556 | |
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| 0.0002 | 18.0 | 6678 | 4.4175 | 116.6667 | |
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| 0.0002 | 19.0 | 7049 | 4.4100 | 116.6667 | |
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| 0.0002 | 20.0 | 7420 | 4.4161 | 116.6667 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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