---
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/FrenchMed dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9773
- Wer: 57.9179

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4539        | 1.0   | 215  | 1.4469          | 192.2287 |
| 0.9269        | 2.0   | 430  | 1.4258          | 127.1994 |
| 0.5316        | 3.0   | 645  | 1.5228          | 66.6422  |
| 0.3295        | 4.0   | 860  | 1.6796          | 60.4839  |
| 0.212         | 5.0   | 1075 | 1.7495          | 73.7537  |
| 0.1228        | 6.0   | 1290 | 1.8167          | 78.9589  |
| 0.0766        | 7.0   | 1505 | 1.8370          | 80.0587  |
| 0.0617        | 8.0   | 1720 | 1.8817          | 61.1437  |
| 0.0575        | 9.0   | 1935 | 1.9629          | 88.0499  |
| 0.0319        | 10.0  | 2150 | 1.9228          | 58.3578  |
| 0.0266        | 11.0  | 2365 | 1.9362          | 57.1848  |
| 0.0143        | 12.0  | 2580 | 1.9740          | 57.1848  |
| 0.0124        | 13.0  | 2795 | 1.9917          | 86.9501  |
| 0.0109        | 14.0  | 3010 | 1.9632          | 56.5982  |
| 0.0087        | 15.0  | 3225 | 1.9501          | 60.8504  |
| 0.0048        | 16.0  | 3440 | 1.9785          | 55.7918  |
| 0.0034        | 17.0  | 3655 | 1.9765          | 58.6510  |
| 0.0021        | 18.0  | 3870 | 1.9765          | 56.8915  |
| 0.0007        | 19.0  | 4085 | 1.9737          | 58.3578  |
| 0.0007        | 20.0  | 4300 | 1.9773          | 57.9179  |


### Framework versions

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