| --- |
| language: |
| - yue |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - hf-asr-leaderboard |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - cer |
| base_model: openai/whisper-large-v2 |
| model-index: |
| - name: Whisper Large V2 Cantonese |
| 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: yue |
| split: test |
| metrics: |
| - type: cer |
| value: 6.7274 |
| name: Cer |
| - task: |
| type: automatic-speech-recognition |
| name: Speech Recognition |
| dataset: |
| name: Common Voice zh-HK |
| type: common_voice |
| args: zh-HK |
| metrics: |
| - type: cer |
| value: 6.7274 |
| name: Test CER |
| --- |
| |
| <!-- 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 Large V2 Cantonese |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 yue dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2807 |
| - Cer: 6.7274 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 5000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.0032 | 13.01 | 1000 | 0.2318 | 6.8569 | |
| | 0.002 | 26.01 | 2000 | 0.2404 | 7.1524 | |
| | 0.0001 | 39.02 | 3000 | 0.2807 | 6.7274 | |
| | 0.0001 | 53.01 | 4000 | 0.2912 | 6.7517 | |
| | 0.0 | 66.01 | 5000 | 0.2957 | 6.7638 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.13.0+cu117 |
| - Datasets 2.7.1.dev0 |
| - Tokenizers 0.13.2 |
| |
