README.md

---
library_name: transformers
language:
- yue
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
model-index:
- name: 'Quick-trained-trial Whisper-Small Yue model #JL '
  results: []
---

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# Quick-trained-trial Whisper-Small Yue model #JL 

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3101
- Cer: 12.7086

## 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: 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
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.0646        | 2.7778  | 1000 | 0.2421          | 14.9583 |
| 0.008         | 5.5556  | 2000 | 0.2735          | 18.6681 |
| 0.0007        | 8.3333  | 3000 | 0.3033          | 15.4648 |
| 0.0005        | 11.1111 | 4000 | 0.3101          | 12.7086 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.1
- Tokenizers 0.21.1