| --- |
| language: |
| - zh |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - hf-asr-leaderboard |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_16_0 |
| model-index: |
| - name: Whisper Small zh-TW - Chinese |
| results: [] |
| --- |
| |
| <!-- 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 Small zh-TW - Chinese |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2102 |
| - Cer: 125.9209 |
|
|
| ## 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: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 4000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.0977 | 1.33 | 1000 | 0.1988 | 92.1973 | |
| | 0.04 | 2.65 | 2000 | 0.1952 | 127.6179 | |
| | 0.0102 | 3.98 | 3000 | 0.2032 | 152.5090 | |
| | 0.0017 | 5.31 | 4000 | 0.2102 | 125.9209 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.2 |
| - Pytorch 2.1.0.post301 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
| |
