---
language:
- nan
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- mozilla-foundation/common_voice_16_1
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: 0.3965

## 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: 16
- 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: 600
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6127        | 1.0   | 1550  | 0.5854          |
| 0.4298        | 2.0   | 3100  | 0.4626          |
| 0.2312        | 3.0   | 4650  | 0.4104          |
| 0.1738        | 4.0   | 6200  | 0.4112          |
| 0.1321        | 5.0   | 7750  | 0.3960          |
| 0.0898        | 6.0   | 9300  | 0.4087          |
| 0.0652        | 7.0   | 10850 | 0.3947          |
| 0.0341        | 8.0   | 12400 | 0.3965          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.19.1.dev0
- Tokenizers 0.15.2