---
library_name: transformers
language:
- zh
license: mit
base_model: openai/whisper-large-v3-turbo
tags:
- wft
- whisper
- automatic-speech-recognition
- audio
- speech
- generated_from_trainer
datasets:
- JacobLinCool/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed
metrics:
- wer
model-index:
- name: whisper-large-v3-turbo-common_voice_16_1-zh-TW-2
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: JacobLinCool/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed
      type: JacobLinCool/mozilla-foundation-common_voice_16_1-zh-TW-preprocessed
    metrics:
    - type: wer
      value: 38.545016077170416
      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-large-v3-turbo-common_voice_16_1-zh-TW-2

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.
It achieves the following results on the evaluation set:
- Loss: 0.2346
- Wer: 38.5450
- Cer: 10.8963

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
| No log        | 0      | 0    | 2.7503          | 76.5675 | 20.3917 |
| 0.9352        | 0.9987 | 377  | 0.2472          | 47.9301 | 13.6656 |
| 0.73          | 1.9980 | 754  | 0.2502          | 47.0056 | 13.5652 |
| 0.4985        | 2.9974 | 1131 | 0.2559          | 46.2018 | 13.7057 |
| 0.1928        | 3.9993 | 1509 | 0.2595          | 45.9606 | 13.0906 |
| 0.2539        | 4.9987 | 1886 | 0.2522          | 44.7950 | 13.1459 |
| 0.0607        | 5.9980 | 2263 | 0.2422          | 44.7548 | 12.5006 |
| 0.0826        | 6.9974 | 2640 | 0.2488          | 43.8907 | 12.4906 |
| 0.0151        | 7.9993 | 3018 | 0.2403          | 40.2331 | 11.4537 |
| 0.0056        | 8.9987 | 3395 | 0.2390          | 39.8312 | 11.5290 |
| 0.0056        | 9.9927 | 3770 | 0.2346          | 38.5450 | 10.8963 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.4.1+cu124
- Datasets 3.0.2
- Tokenizers 0.20.1