---
language:
- fr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-small
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# openai/whisper-small

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the pphuc25/FrenchMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2159
- Wer: 71.8475
- Cer: 60.7403

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.8706        | 1.0   | 215  | 0.8600          | 178.2258 | 102.3256 |
| 0.6025        | 2.0   | 430  | 0.8573          | 114.1496 | 71.0059  |
| 0.3962        | 3.0   | 645  | 0.8968          | 88.9296  | 67.1529  |
| 0.2239        | 4.0   | 860  | 0.9412          | 96.1877  | 60.4651  |
| 7.0487        | 5.0   | 1075 | 6.4281          | 779.6188 | 546.2915 |
| 5.2135        | 6.0   | 1290 | 4.5960          | 95.0147  | 76.2626  |
| 0.2569        | 7.0   | 1505 | 1.0109          | 228.7390 | 163.0246 |
| 0.2082        | 8.0   | 1720 | 1.0642          | 215.1026 | 163.8090 |
| 0.1511        | 9.0   | 1935 | 1.0990          | 162.3167 | 156.4882 |
| 0.0247        | 10.0  | 2150 | 1.1002          | 160.6305 | 182.1660 |
| 0.0155        | 11.0  | 2365 | 1.1253          | 59.9707  | 62.7081  |
| 0.007         | 12.0  | 2580 | 1.1525          | 134.8240 | 131.4298 |
| 0.0042        | 13.0  | 2795 | 1.1656          | 164.0762 | 154.8507 |
| 0.0024        | 14.0  | 3010 | 1.1838          | 118.9883 | 105.3530 |
| 0.0027        | 15.0  | 3225 | 1.1876          | 87.5367  | 71.3362  |
| 0.0015        | 16.0  | 3440 | 1.1978          | 57.2581  | 44.8190  |
| 0.0017        | 17.0  | 3655 | 1.1999          | 72.2874  | 60.8504  |
| 0.0012        | 18.0  | 3870 | 1.2119          | 71.8475  | 60.7541  |
| 0.0011        | 19.0  | 4085 | 1.2144          | 71.8475  | 60.7403  |
| 0.0011        | 20.0  | 4300 | 1.2159          | 71.8475  | 60.7403  |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1