---
library_name: transformers
language:
- fr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 52Hz Small Fr - IMT Atlantique X 52 Hertz
  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. -->

# 52Hz Small Fr - IMT Atlantique X 52 Hertz

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Transcriptions IMTx52Hz v3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4065
- Wer: 17.8105

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.4611        | 1.0   | 22   | 0.8947          | 39.8693 |
| 0.6451        | 2.0   | 44   | 0.5211          | 25.4902 |
| 0.3082        | 3.0   | 66   | 0.4803          | 20.4248 |
| 0.224         | 4.0   | 88   | 0.4255          | 37.7451 |
| 0.1531        | 5.0   | 110  | 0.4062          | 17.9739 |
| 0.1294        | 6.0   | 132  | 0.4146          | 19.1176 |
| 0.1018        | 7.0   | 154  | 0.4123          | 19.6078 |
| 0.0546        | 8.0   | 176  | 0.4034          | 20.2614 |
| 0.0401        | 9.0   | 198  | 0.4386          | 17.3203 |
| 0.0476        | 10.0  | 220  | 0.4225          | 18.6275 |
| 0.0261        | 11.0  | 242  | 0.4131          | 18.4641 |
| 0.0226        | 12.0  | 264  | 0.4035          | 17.8105 |
| 0.0323        | 13.0  | 286  | 0.4050          | 17.6471 |
| 0.0208        | 14.0  | 308  | 0.4064          | 17.8105 |
| 0.0189        | 15.0  | 330  | 0.4065          | 17.8105 |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.1+cu130
- Datasets 4.4.2
- Tokenizers 0.22.2