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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_16_0 |
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metrics: |
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- wer |
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base_model: openai/whisper-large-v3 |
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model-index: |
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- name: whisper-large-v3-ja |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: common_voice_16_0 |
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type: common_voice_16_0 |
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config: ja |
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split: validation |
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args: ja |
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metrics: |
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- type: wer |
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value: 14.696501005043272 |
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name: Wer |
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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-large-v3-ja |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the common_voice_16_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4210 |
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- Wer: 14.6965 |
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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: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 4000 |
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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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| 0.1542 | 1.69 | 500 | 0.2712 | 15.6149 | |
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| 0.0351 | 3.39 | 1000 | 0.3074 | 16.1866 | |
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| 0.0081 | 5.08 | 1500 | 0.3475 | 15.3802 | |
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| 0.0049 | 6.78 | 2000 | 0.3427 | 15.1804 | |
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| 0.001 | 8.47 | 2500 | 0.3851 | 14.7302 | |
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| 0.0004 | 10.17 | 3000 | 0.4109 | 14.7254 | |
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| 0.0003 | 11.86 | 3500 | 0.4168 | 14.6953 | |
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| 0.0003 | 13.56 | 4000 | 0.4210 | 14.6965 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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