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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the pphuc25/FranceMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9080
- Wer: 56.1584

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.3284        | 1.0   | 215  | 1.3160          | 94.5748 |
| 0.8758        | 2.0   | 430  | 1.3129          | 84.3842 |
| 0.5092        | 3.0   | 645  | 1.3872          | 57.4047 |
| 0.295         | 4.0   | 860  | 1.4638          | 70.3079 |
| 0.1646        | 5.0   | 1075 | 1.5513          | 69.0616 |
| 0.0939        | 6.0   | 1290 | 1.6665          | 60.6305 |
| 0.0585        | 7.0   | 1505 | 1.7200          | 54.8387 |
| 0.0411        | 8.0   | 1720 | 1.6980          | 54.1789 |
| 0.0295        | 9.0   | 1935 | 1.7985          | 56.0850 |
| 0.023         | 10.0  | 2150 | 1.8064          | 57.1114 |
| 0.0106        | 11.0  | 2365 | 1.8492          | 54.3255 |
| 0.011         | 12.0  | 2580 | 1.8559          | 57.2581 |
| 0.0087        | 13.0  | 2795 | 1.8624          | 59.5308 |
| 0.0069        | 14.0  | 3010 | 1.8581          | 57.1114 |
| 0.0028        | 15.0  | 3225 | 1.8776          | 58.1378 |
| 0.002         | 16.0  | 3440 | 1.8993          | 56.5982 |
| 0.0023        | 17.0  | 3655 | 1.8775          | 56.5249 |
| 0.0011        | 18.0  | 3870 | 1.9031          | 56.8915 |
| 0.0009        | 19.0  | 4085 | 1.9053          | 55.9384 |
| 0.0009        | 20.0  | 4300 | 1.9080          | 56.1584 |


### Framework versions

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