---
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: 1.2271
- Wer: 40.1026

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8705        | 1.0   | 215  | 0.8589          | 164.5161 |
| 0.6103        | 2.0   | 430  | 0.8569          | 150.7331 |
| 0.3958        | 3.0   | 645  | 0.9063          | 72.4340  |
| 0.2181        | 4.0   | 860  | 0.9451          | 94.7947  |
| 0.137         | 5.0   | 1075 | 0.9824          | 113.8563 |
| 0.0827        | 6.0   | 1290 | 1.0459          | 68.6950  |
| 0.0429        | 7.0   | 1505 | 1.0825          | 86.7302  |
| 0.0259        | 8.0   | 1720 | 1.1261          | 113.0499 |
| 0.0215        | 9.0   | 1935 | 1.1081          | 44.6481  |
| 0.0161        | 10.0  | 2150 | 1.1658          | 64.5161  |
| 0.007         | 11.0  | 2365 | 1.1593          | 38.9296  |
| 0.0048        | 12.0  | 2580 | 1.1756          | 39.0029  |
| 0.0032        | 13.0  | 2795 | 1.1836          | 37.5367  |
| 0.002         | 14.0  | 3010 | 1.1991          | 38.9296  |
| 0.0038        | 15.0  | 3225 | 1.2011          | 37.7566  |
| 0.0011        | 16.0  | 3440 | 1.2117          | 40.7625  |
| 0.001         | 17.0  | 3655 | 1.2195          | 38.5630  |
| 0.0009        | 18.0  | 3870 | 1.2237          | 40.1760  |
| 0.0008        | 19.0  | 4085 | 1.2262          | 39.9560  |
| 0.0008        | 20.0  | 4300 | 1.2271          | 40.1026  |


### Framework versions

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