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 Transcriptions IMTx52Hz v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6781
- Wer: 78.6424
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
- 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 |
|---|---|---|---|---|
| 4.3806 | 1.0 | 21 | 1.7951 | 935.5960 |
| 2.2732 | 2.0 | 42 | 1.1379 | 211.4238 |
| 1.5989 | 3.0 | 63 | 0.9543 | 159.4371 |
| 1.1012 | 4.0 | 84 | 0.8132 | 111.0927 |
| 0.9105 | 5.0 | 105 | 0.7807 | 57.7815 |
| 0.6273 | 6.0 | 126 | 0.7140 | 88.0795 |
| 0.6452 | 7.0 | 147 | 0.7138 | 71.5232 |
| 0.5428 | 8.0 | 168 | 0.6825 | 80.9603 |
| 0.4051 | 9.0 | 189 | 0.6651 | 79.9669 |
| 0.3947 | 10.0 | 210 | 0.6726 | 79.4702 |
| 0.3583 | 11.0 | 231 | 0.6810 | 77.1523 |
| 0.3139 | 12.0 | 252 | 0.6745 | 77.8146 |
| 0.3343 | 13.0 | 273 | 0.6796 | 67.0530 |
| 0.3315 | 14.0 | 294 | 0.6787 | 78.8079 |
| 0.2934 | 15.0 | 315 | 0.6781 | 78.6424 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu130
- Datasets 4.4.2
- Tokenizers 0.22.2