metadata
library_name: peft
language:
- fr
license: apache-2.0
base_model: openai/whisper-small
tags:
- base_model:adapter:openai/whisper-small
- lora
- transformers
metrics:
- wer
model-index:
- name: 52Hz Small Fr - IMT Atlantique X 52 Hertz
results: []
52Hz Small Fr - IMT Atlantique X 52 Hertz
This model is a fine-tuned version of openai/whisper-small on the Premier dataset organisé de 52 Hertz dataset. It achieves the following results on the evaluation set:
- Loss: 0.5492
- Wer: 45.9384
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4736 | 1.0 | 23 | 1.4884 | 104.3417 |
| 1.2019 | 2.0 | 46 | 1.1218 | 60.5042 |
| 0.8634 | 3.0 | 69 | 0.8382 | 55.7423 |
| 0.593 | 4.0 | 92 | 0.6966 | 52.2409 |
| 0.4493 | 5.0 | 115 | 0.6234 | 50.8403 |
| 0.3896 | 6.0 | 138 | 0.5908 | 50.2801 |
| 0.3281 | 7.0 | 161 | 0.5737 | 47.6190 |
| 0.2867 | 8.0 | 184 | 0.5482 | 50.5602 |
| 0.2528 | 9.0 | 207 | 0.5397 | 47.1989 |
| 0.2379 | 10.0 | 230 | 0.5455 | 47.4790 |
| 0.1741 | 11.0 | 253 | 0.5469 | 47.1989 |
| 0.1718 | 12.0 | 276 | 0.5458 | 47.1989 |
| 0.1213 | 13.0 | 299 | 0.5413 | 45.3782 |
| 0.1177 | 14.0 | 322 | 0.5450 | 46.2185 |
| 0.0879 | 15.0 | 345 | 0.5492 | 45.9384 |
Framework versions
- PEFT 0.18.1
- Transformers 4.57.3
- Pytorch 2.9.1+cu130
- Datasets 4.4.2
- Tokenizers 0.22.2