---
base_model: wcyat/whisper-small-yue
tags:
- generated_from_trainer
model-index:
- name: whisper-small-yue-5
  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-yue-5

This model is a fine-tuned version of [wcyat/whisper-small-yue](https://huggingface.co/wcyat/whisper-small-yue) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3094
- Cer: 11.2185

## 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: 16
- 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: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0079        | 2.83  | 1000 | 0.2938          | 11.8706 |
| 0.0005        | 5.67  | 2000 | 0.3094          | 11.2185 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0