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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: xmzhu/whisper-tiny-zh |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_16_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Base Chinese-Mandarin |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: mozilla-foundation/common_voice_16_0 zh-CN |
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type: mozilla-foundation/common_voice_16_0 |
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config: zh-CN |
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split: test |
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args: zh-CN |
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metrics: |
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- name: Wer |
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type: wer |
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value: 91.12657677250978 |
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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 Base Chinese-Mandarin |
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This model is a fine-tuned version of [xmzhu/whisper-tiny-zh](https://huggingface.co/xmzhu/whisper-tiny-zh) on the mozilla-foundation/common_voice_16_0 zh-CN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5759 |
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- Wer: 91.1266 |
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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-07 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 200 |
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- training_steps: 1000 |
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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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| 0.6689 | 0.2 | 200 | 0.5854 | 91.6311 | |
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| 0.6314 | 1.07 | 400 | 0.5791 | 91.1788 | |
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| 0.653 | 1.27 | 600 | 0.5759 | 91.1266 | |
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| 0.699 | 2.13 | 800 | 0.5749 | 91.2049 | |
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| 0.5613 | 3.0 | 1000 | 0.5744 | 91.1527 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.0 |
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