---
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 v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4081
- Wer: 17.4837

## 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   | 0.8951          | 40.3595 |
| 0.6363        | 2.0   | 44   | 0.5120          | 25.1634 |
| 0.2988        | 3.0   | 66   | 0.4660          | 20.4248 |
| 0.2174        | 4.0   | 88   | 0.4379          | 36.7647 |
| 0.1602        | 5.0   | 110  | 0.4227          | 44.9346 |
| 0.1294        | 6.0   | 132  | 0.4130          | 18.6275 |
| 0.0972        | 7.0   | 154  | 0.4207          | 18.1373 |
| 0.0591        | 8.0   | 176  | 0.4045          | 19.4444 |
| 0.0377        | 9.0   | 198  | 0.4233          | 15.6863 |
| 0.0337        | 10.0  | 220  | 0.4078          | 17.1569 |
| 0.0292        | 11.0  | 242  | 0.4063          | 17.6471 |
| 0.0225        | 12.0  | 264  | 0.4063          | 16.9935 |
| 0.0313        | 13.0  | 286  | 0.4073          | 17.4837 |
| 0.0185        | 14.0  | 308  | 0.4080          | 17.4837 |
| 0.0198        | 15.0  | 330  | 0.4081          | 17.4837 |


### Framework versions

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