| --- |
| license: apache-2.0 |
| tags: |
| - whisper-medium |
| - asr |
| - zh-TW |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| model-index: |
| - name: Whisper Medium TW |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: mozilla-foundation/common_voice_11_0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: zh-TW |
| split: test |
| metrics: |
| - type: wer |
| value: 7.38 |
| name: WER |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Whisper Medium TW |
|
|
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 dataset. |
| |
| ## Training and evaluation data |
| |
| Training: |
| - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (train+validation) |
| |
| Evaluation: |
| - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (test) |
| |
| ## Training procedure |
| |
| - Datasets were augmented using [audiomentations](https://github.com/iver56/audiomentations) via PitchShift, TimeStretch, Gain, AddGaussianNoise transformations at `p=0.3`. |
| - A space is added between each Chinese character, as demonstrated in the original paper. Effectively, WER == CER in this case. |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - gradient_accumulation_steps: 32 |
| - optimizer: Adam |
| - generation_max_length: 225, |
| - warmup_steps: 200 |
| - max_steps: 2000, |
| - fp16: True, |
| - evaluation_strategy: "steps", |
| |
| ### Framework versions |
| |
| - Transformers 4.27.1 |
| - Pytorch 2.0.1+cu120 |
| - Datasets 2.13.1 |
| |
