---
library_name: transformers
language:
- fr
license: apache-2.0
base_model: StephaneBah/whisper-small-rad-FR1
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small FR - Radiologie
  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. -->

# Whisper Small FR - Radiologie

This model is a fine-tuned version of [StephaneBah/whisper-small-rad-FR1](https://huggingface.co/StephaneBah/whisper-small-rad-FR1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7650
- Wer: 33.3943

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 6
- seed: 3407
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 6.25  | 100  | 0.7386          | 29.1895 |
| No log        | 12.5  | 200  | 0.7423          | 33.2115 |
| No log        | 18.75 | 300  | 0.7461          | 33.5771 |
| No log        | 25.0  | 400  | 0.7524          | 30.8349 |
| 0.0005        | 31.25 | 500  | 0.7564          | 33.6990 |
| 0.0005        | 37.5  | 600  | 0.7596          | 33.8818 |
| 0.0005        | 43.75 | 700  | 0.7628          | 33.6380 |
| 0.0005        | 50.0  | 800  | 0.7629          | 33.0286 |
| 0.0005        | 56.25 | 900  | 0.7645          | 33.4552 |
| 0.0002        | 62.5  | 1000 | 0.7650          | 33.3943 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2