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---
language:
- zh
license: apache-2.0
library_name: peft
tags:
- hf-asr-leaderboard
- generated_from_trainer
base_model: openai/whisper-base
datasets:
- mozilla-foundation/common_voice_13_0
model-index:
- name: Whisper Base LoRA tuned zh-TW
  results: []
pipeline_tag: automatic-speech-recognition
---

<!-- 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 Base LoRA tuned zh-TW

DEMO LINK: https://4e766dca651b881c9b.gradio.live

This model is a fine-tuned version with PEFT-LoRA of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 13.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3839
- CER: 22.13% :(



## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3981        | 1.0   | 1453  | 0.4017          |
| 0.4016        | 2.0   | 2906  | 0.3960          |
| 0.3543        | 3.0   | 4359  | 0.3933          |
| 0.3638        | 4.0   | 5812  | 0.3905          |
| 0.3953        | 5.0   | 7265  | 0.3895          |
| 0.377         | 6.0   | 8718  | 0.3879          |
| 0.3646        | 7.0   | 10171 | 0.3869          |
| 0.3592        | 8.0   | 11624 | 0.3860          |
| 0.3324        | 9.0   | 13077 | 0.3853          |
| 0.3818        | 10.0  | 14530 | 0.3848          |
| 0.3107        | 11.0  | 15983 | 0.3844          |
| 0.3473        | 12.0  | 17436 | 0.3844          |
| 0.3684        | 13.0  | 18889 | 0.3845          |
| 0.3886        | 14.0  | 20342 | 0.3841          |
| 0.3652        | 15.0  | 21795 | 0.3839          |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2