metadata
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: []
Whisper small Taiwanese - LoRA
This model is a fine-tuned version of 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