metadata
library_name: transformers
language:
- fr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
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 Transcriptions IMTx52Hz v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4081
- Wer: 17.4837
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4611 | 1.0 | 22 | 0.8951 | 40.3595 |
| 0.6363 | 2.0 | 44 | 0.5120 | 25.1634 |
| 0.2988 | 3.0 | 66 | 0.4660 | 20.4248 |
| 0.2174 | 4.0 | 88 | 0.4379 | 36.7647 |
| 0.1602 | 5.0 | 110 | 0.4227 | 44.9346 |
| 0.1294 | 6.0 | 132 | 0.4130 | 18.6275 |
| 0.0972 | 7.0 | 154 | 0.4207 | 18.1373 |
| 0.0591 | 8.0 | 176 | 0.4045 | 19.4444 |
| 0.0377 | 9.0 | 198 | 0.4233 | 15.6863 |
| 0.0337 | 10.0 | 220 | 0.4078 | 17.1569 |
| 0.0292 | 11.0 | 242 | 0.4063 | 17.6471 |
| 0.0225 | 12.0 | 264 | 0.4063 | 16.9935 |
| 0.0313 | 13.0 | 286 | 0.4073 | 17.4837 |
| 0.0185 | 14.0 | 308 | 0.4080 | 17.4837 |
| 0.0198 | 15.0 | 330 | 0.4081 | 17.4837 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu130
- Datasets 4.4.2
- Tokenizers 0.22.2