---
language:
- zh
license: apache-2.0
library_name: peft
tags:
- hf-asr-leaderboard
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- mozilla-foundation/common_voice_13_0
model-index:
- name: Whisper Small LoRA tuned zh-TW
  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 LoRA tuned zh-TW

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2094
- CER: 13.1583%

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2284        | 1.0   | 1453  | 0.2305          |
| 0.2221        | 2.0   | 2906  | 0.2183          |
| 0.1939        | 3.0   | 4359  | 0.2149          |
| 0.2085        | 4.0   | 5812  | 0.2125          |
| 0.2202        | 5.0   | 7265  | 0.2112          |
| 0.2097        | 6.0   | 8718  | 0.2103          |
| 0.2072        | 7.0   | 10171 | 0.2095          |
| 0.1906        | 8.0   | 11624 | 0.2094          |
| 0.1818        | 9.0   | 13077 | 0.2091          |
| 0.2054        | 10.0  | 14530 | 0.2093          |
| 0.1597        | 11.0  | 15983 | 0.2094          |
| 0.1797        | 12.0  | 17436 | 0.2095          |
| 0.204         | 13.0  | 18889 | 0.2096          |
| 0.1872        | 14.0  | 20342 | 0.2094          |
| 0.1879        | 15.0  | 21795 | 0.2094          |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2