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--- |
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library_name: peft |
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language: |
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- zh |
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license: mit |
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base_model: openai/whisper-large-v3-turbo |
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tags: |
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- wft |
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- whisper |
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- automatic-speech-recognition |
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- audio |
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- speech |
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- generated_from_trainer |
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datasets: |
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- JacobLinCool/common_voice_16_1_zh_TW_clean_preprocessed |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-large-v3-turbo-zh-TW-clean-1 |
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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: JacobLinCool/common_voice_16_1_zh_TW_clean_preprocessed |
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type: JacobLinCool/common_voice_16_1_zh_TW_clean_preprocessed |
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metrics: |
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- type: wer |
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value: 40.07234726688103 |
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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-turbo-zh-TW-clean-1 |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the JacobLinCool/common_voice_16_1_zh_TW_clean_preprocessed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2641 |
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- Wer: 40.0723 |
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- Cer: 11.4336 |
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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: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Validation Loss | Wer | |
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|:-------------:|:------:|:----:|:-------:|:---------------:|:-------:| |
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| No log | 0 | 0 | 22.9952 | 2.8297 | 83.7420 | |
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| 2.0577 | 0.9987 | 377 | 14.2907 | 0.2666 | 47.9904 | |
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| 1.9482 | 2.0 | 755 | 14.4991 | 0.2770 | 47.9703 | |
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| 1.1107 | 2.9987 | 1132 | 15.0615 | 0.2886 | 48.4124 | |
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| 0.7225 | 4.0 | 1510 | 13.4020 | 0.2736 | 46.2420 | |
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| 0.5901 | 4.9987 | 1887 | 13.7309 | 0.2759 | 45.2572 | |
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| 0.4879 | 6.0 | 2265 | 12.9777 | 0.2740 | 44.9759 | |
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| 0.1874 | 6.9987 | 2642 | 12.7316 | 0.2663 | 44.2524 | |
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| 0.0544 | 8.0 | 3020 | 12.2295 | 0.2712 | 42.6648 | |
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| 0.0128 | 8.9987 | 3397 | 11.6068 | 0.2669 | 40.8963 | |
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| 0.004 | 9.9868 | 3770 | 11.4336 | 0.2641 | 40.0723 | |
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| 0.004 | 9.9868 | 3770 | 0.2641 | 40.0723 | 11.4336 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.0 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
