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

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: 0.9806

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1346        | 0.2   | 100  | 1.2898          |
| 1.1269        | 0.4   | 200  | 1.1432          |
| 1.0896        | 0.6   | 300  | 1.0504          |
| 1.0369        | 0.8   | 400  | 1.0032          |
| 1.0069        | 1.0   | 500  | 0.9806          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2