---
library_name: peft
language:
- fr
license: apache-2.0
base_model: openai/whisper-small
tags:
- base_model:adapter:openai/whisper-small
- lora
- transformers
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 Premier dataset organisé de 52 Hertz dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5492
- Wer: 45.9384

## 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
- gradient_accumulation_steps: 2
- 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: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4736        | 1.0   | 23   | 1.4884          | 104.3417 |
| 1.2019        | 2.0   | 46   | 1.1218          | 60.5042  |
| 0.8634        | 3.0   | 69   | 0.8382          | 55.7423  |
| 0.593         | 4.0   | 92   | 0.6966          | 52.2409  |
| 0.4493        | 5.0   | 115  | 0.6234          | 50.8403  |
| 0.3896        | 6.0   | 138  | 0.5908          | 50.2801  |
| 0.3281        | 7.0   | 161  | 0.5737          | 47.6190  |
| 0.2867        | 8.0   | 184  | 0.5482          | 50.5602  |
| 0.2528        | 9.0   | 207  | 0.5397          | 47.1989  |
| 0.2379        | 10.0  | 230  | 0.5455          | 47.4790  |
| 0.1741        | 11.0  | 253  | 0.5469          | 47.1989  |
| 0.1718        | 12.0  | 276  | 0.5458          | 47.1989  |
| 0.1213        | 13.0  | 299  | 0.5413          | 45.3782  |
| 0.1177        | 14.0  | 322  | 0.5450          | 46.2185  |
| 0.0879        | 15.0  | 345  | 0.5492          | 45.9384  |


### Framework versions

- PEFT 0.18.1
- Transformers 4.57.3
- Pytorch 2.9.1+cu130
- Datasets 4.4.2
- Tokenizers 0.22.2