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--- |
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library_name: transformers |
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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/mozilla-foundation-common_voice_16_1-zh-TW-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-common_voice_16_1-zh-TW-2 |
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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/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed |
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type: JacobLinCool/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed |
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metrics: |
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- type: wer |
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value: 38.545016077170416 |
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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-common_voice_16_1-zh-TW-2 |
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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/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2346 |
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- Wer: 38.5450 |
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- Cer: 10.8963 |
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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: 8 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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 | Validation Loss | Wer | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 0 | 0 | 2.7503 | 76.5675 | 20.3917 | |
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| 0.9352 | 0.9987 | 377 | 0.2472 | 47.9301 | 13.6656 | |
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| 0.73 | 1.9980 | 754 | 0.2502 | 47.0056 | 13.5652 | |
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| 0.4985 | 2.9974 | 1131 | 0.2559 | 46.2018 | 13.7057 | |
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| 0.1928 | 3.9993 | 1509 | 0.2595 | 45.9606 | 13.0906 | |
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| 0.2539 | 4.9987 | 1886 | 0.2522 | 44.7950 | 13.1459 | |
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| 0.0607 | 5.9980 | 2263 | 0.2422 | 44.7548 | 12.5006 | |
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| 0.0826 | 6.9974 | 2640 | 0.2488 | 43.8907 | 12.4906 | |
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| 0.0151 | 7.9993 | 3018 | 0.2403 | 40.2331 | 11.4537 | |
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| 0.0056 | 8.9987 | 3395 | 0.2390 | 39.8312 | 11.5290 | |
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| 0.0056 | 9.9927 | 3770 | 0.2346 | 38.5450 | 10.8963 | |
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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 2.4.1+cu124 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
