metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- mozilla-foundation/common_voice_6_1
model-index:
- name: LoRA-Frisian-1h
results: []
LoRA-Frisian-1h
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_6_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8286
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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6913 | 1.0 | 89 | 1.1389 |
| 0.6757 | 2.0 | 178 | 0.9073 |
| 0.3686 | 3.0 | 267 | 0.8561 |
| 0.2062 | 4.0 | 356 | 0.8493 |
| 0.11 | 5.0 | 445 | 0.8448 |
| 0.0652 | 6.0 | 534 | 0.8446 |
| 0.0393 | 7.0 | 623 | 0.8239 |
| 0.0205 | 8.0 | 712 | 0.8243 |
| 0.0137 | 9.0 | 801 | 0.8279 |
| 0.0095 | 10.0 | 890 | 0.8105 |
| 0.0065 | 11.0 | 979 | 0.8192 |
| 0.0076 | 12.0 | 1068 | 0.8240 |
| 0.006 | 13.0 | 1157 | 0.8255 |
| 0.0048 | 14.0 | 1246 | 0.8272 |
| 0.0038 | 15.0 | 1335 | 0.8286 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1