metadata
language:
- fr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-small
results: []
openai/whisper-small
This model is a fine-tuned version of openai/whisper-small on the pphuc25/FrenchMed dataset. It achieves the following results on the evaluation set:
- Loss: 1.4691
- Wer: 40.9824
- Cer: 28.8290
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.054 | 1.0 | 215 | 1.0167 | 52.2727 | 33.9067 |
| 0.6007 | 2.0 | 430 | 1.0289 | 57.0381 | 35.2828 |
| 0.3026 | 3.0 | 645 | 1.1406 | 40.3226 | 27.7418 |
| 0.1617 | 4.0 | 860 | 1.2025 | 40.0293 | 25.8291 |
| 0.1133 | 5.0 | 1075 | 1.2893 | 42.0088 | 28.0583 |
| 0.0903 | 6.0 | 1290 | 1.2941 | 42.0088 | 29.6821 |
| 0.0821 | 7.0 | 1505 | 1.3255 | 41.5689 | 28.0033 |
| 0.0511 | 8.0 | 1720 | 1.4011 | 43.5484 | 28.2923 |
| 0.0391 | 9.0 | 1935 | 1.4531 | 39.3695 | 27.4804 |
| 0.0283 | 10.0 | 2150 | 1.4935 | 43.0352 | 29.9436 |
| 0.0181 | 11.0 | 2365 | 1.4941 | 43.0352 | 29.1042 |
| 0.0152 | 12.0 | 2580 | 1.4768 | 43.3284 | 31.3609 |
| 0.0191 | 13.0 | 2795 | 1.4495 | 43.9150 | 30.8380 |
| 0.0055 | 14.0 | 3010 | 1.4699 | 42.1554 | 29.2418 |
| 0.0032 | 15.0 | 3225 | 1.4493 | 39.8094 | 28.0859 |
| 0.0041 | 16.0 | 3440 | 1.4503 | 40.8358 | 28.7739 |
| 0.0018 | 17.0 | 3655 | 1.4598 | 41.6422 | 29.3931 |
| 0.0015 | 18.0 | 3870 | 1.4654 | 41.2023 | 28.7051 |
| 0.0002 | 19.0 | 4085 | 1.4676 | 40.8358 | 28.7051 |
| 0.0005 | 20.0 | 4300 | 1.4691 | 40.9824 | 28.8290 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1