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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: ZhihCheng/whisper-tiny-zh |
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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: Whisper tiny zh v2 |
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results: [] |
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datasets: |
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- ZhihCheng/Motor_jargon_dataset |
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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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# Whisper tiny zh v2 |
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This model is a fine-tuned version of [ZhihCheng/whisper-tiny-zh](https://huggingface.co/ZhihCheng/whisper-tiny-zh) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0257 |
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- Wer: 8.1081 |
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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: 4 |
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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: 25 |
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- training_steps: 200 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.4201 | 0.62 | 50 | 0.2035 | 72.9730 | |
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| 0.1236 | 1.25 | 100 | 0.0640 | 31.5315 | |
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| 0.0849 | 1.88 | 150 | 0.0320 | 9.9099 | |
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| 0.0388 | 2.5 | 200 | 0.0257 | 8.1081 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.2.0a0+6a974be |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
