---
language:
- nan
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
model-index:
- name: Whisper Small Taiwanese - hanzi
  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 Taiwanese - hanzi

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2705
- Cer: 16.2525

## 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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.2

### Training results

| Training Loss | Epoch | Step | Cer     | Validation Loss |
|:-------------:|:-----:|:----:|:-------:|:---------------:|
| 0.5463        | 0.4   | 1000 | 28.5221 | 0.5585          |
| 0.4142        | 0.8   | 2000 | 24.6764 | 0.4017          |
| 0.2268        | 1.2   | 3000 | 19.0744 | 0.3413          |
| 0.2183        | 1.6   | 4000 | 18.1837 | 0.3093          |
| 0.2223        | 2.0   | 5000 | 0.2952  | 17.1932         |
| 0.125         | 2.4   | 6000 | 0.2840  | 17.1016         |
| 0.118         | 2.8   | 7000 | 0.2734  | 16.8893         |
| 0.0678        | 3.2   | 8000 | 0.2705  | 16.2525         |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1