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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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library_name: peft |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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base_model: openai/whisper-base |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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model-index: |
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- name: Whisper Base LoRA tuned zh-TW |
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results: [] |
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pipeline_tag: automatic-speech-recognition |
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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 LoRA tuned zh-TW |
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DEMO LINK: https://4e766dca651b881c9b.gradio.live |
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This model is a fine-tuned version with PEFT-LoRA of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 13.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3839 |
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- CER: 22.13% :( |
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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: 8 |
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- eval_batch_size: 4 |
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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: 500 |
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- num_epochs: 15 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.3981 | 1.0 | 1453 | 0.4017 | |
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| 0.4016 | 2.0 | 2906 | 0.3960 | |
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| 0.3543 | 3.0 | 4359 | 0.3933 | |
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| 0.3638 | 4.0 | 5812 | 0.3905 | |
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| 0.3953 | 5.0 | 7265 | 0.3895 | |
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| 0.377 | 6.0 | 8718 | 0.3879 | |
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| 0.3646 | 7.0 | 10171 | 0.3869 | |
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| 0.3592 | 8.0 | 11624 | 0.3860 | |
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| 0.3324 | 9.0 | 13077 | 0.3853 | |
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| 0.3818 | 10.0 | 14530 | 0.3848 | |
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| 0.3107 | 11.0 | 15983 | 0.3844 | |
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| 0.3473 | 12.0 | 17436 | 0.3844 | |
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| 0.3684 | 13.0 | 18889 | 0.3845 | |
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| 0.3886 | 14.0 | 20342 | 0.3841 | |
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| 0.3652 | 15.0 | 21795 | 0.3839 | |
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### Framework versions |
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- PEFT 0.9.1.dev0 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
