metadata
library_name: transformers
language:
- fr
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 52Hz Tiny Fr - IMT Atlantique X 52 Hertz
results: []
52Hz Tiny Fr - IMT Atlantique X 52 Hertz
This model is a fine-tuned version of openai/whisper-tiny on the Premier dataset organisé de 52 Hertz dataset. It achieves the following results on the evaluation set:
- Loss: 0.6664
- Wer: 58.6381
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| 5.0278 | 1.0 | 12 | 1.9196 | 763.3039 |
| 3.4923 | 2.0 | 24 | 1.4318 | 492.8121 |
| 1.9181 | 3.0 | 36 | 1.0781 | 178.0580 |
| 1.5961 | 4.0 | 48 | 0.9307 | 100.1261 |
| 1.2186 | 5.0 | 60 | 0.8604 | 93.4426 |
| 0.9392 | 6.0 | 72 | 0.8176 | 68.8525 |
| 0.8361 | 7.0 | 84 | 0.7492 | 38.7137 |
| 0.783 | 8.0 | 96 | 0.7197 | 69.2308 |
| 0.68 | 9.0 | 108 | 0.6915 | 40.7314 |
| 0.6685 | 10.0 | 120 | 0.6762 | 56.3682 |
| 0.5406 | 11.0 | 132 | 0.6753 | 63.0517 |
| 0.5741 | 12.0 | 144 | 0.6721 | 59.6469 |
| 0.5247 | 13.0 | 156 | 0.6677 | 62.9256 |
| 0.5278 | 14.0 | 168 | 0.6663 | 62.0429 |
| 0.4853 | 15.0 | 180 | 0.6664 | 58.6381 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu130
- Datasets 4.4.2
- Tokenizers 0.22.2