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-10h
results: []
LoRA-Frisian-10h
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: 0.4038
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 |
|---|---|---|---|
| 0.5243 | 1.0 | 935 | 0.6300 |
| 0.432 | 2.0 | 1870 | 0.5607 |
| 0.3525 | 3.0 | 2805 | 0.5192 |
| 0.2719 | 4.0 | 3740 | 0.4961 |
| 0.2251 | 5.0 | 4675 | 0.4779 |
| 0.1761 | 6.0 | 5610 | 0.4505 |
| 0.1344 | 7.0 | 6545 | 0.4435 |
| 0.1019 | 8.0 | 7480 | 0.4414 |
| 0.0717 | 9.0 | 8415 | 0.4197 |
| 0.0434 | 10.0 | 9350 | 0.4149 |
| 0.023 | 11.0 | 10285 | 0.4077 |
| 0.0161 | 12.0 | 11220 | 0.4067 |
| 0.0075 | 13.0 | 12155 | 0.3982 |
| 0.0066 | 14.0 | 13090 | 0.4005 |
| 0.0034 | 15.0 | 14025 | 0.4038 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1