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---
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 |