---
language:
- fr
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-base
  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-base

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the pphuc25/FrenchMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6240
- Wer: 47.8006

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2466        | 1.0   | 215  | 1.2507          | 115.8358 |
| 0.7568        | 2.0   | 430  | 1.2524          | 86.4370  |
| 0.4229        | 3.0   | 645  | 1.3556          | 72.1408  |
| 0.2402        | 4.0   | 860  | 1.4000          | 52.4927  |
| 0.1544        | 5.0   | 1075 | 1.4770          | 47.1408  |
| 0.1127        | 6.0   | 1290 | 1.5115          | 56.7449  |
| 0.0674        | 7.0   | 1505 | 1.5317          | 56.8182  |
| 0.0526        | 8.0   | 1720 | 1.5979          | 51.1730  |
| 0.0442        | 9.0   | 1935 | 1.5844          | 50.5865  |
| 0.038         | 10.0  | 2150 | 1.5793          | 55.4252  |
| 0.0193        | 11.0  | 2365 | 1.6582          | 50.3666  |
| 0.0138        | 12.0  | 2580 | 1.6064          | 56.8182  |
| 0.0144        | 13.0  | 2795 | 1.5930          | 48.3138  |
| 0.0125        | 14.0  | 3010 | 1.6400          | 53.4457  |
| 0.0061        | 15.0  | 3225 | 1.6139          | 48.9003  |
| 0.0024        | 16.0  | 3440 | 1.6124          | 46.1877  |
| 0.0017        | 17.0  | 3655 | 1.6168          | 50.2933  |
| 0.0015        | 18.0  | 3870 | 1.6247          | 45.5279  |
| 0.0004        | 19.0  | 4085 | 1.6212          | 45.8211  |
| 0.0005        | 20.0  | 4300 | 1.6240          | 47.8006  |


### Framework versions

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