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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Transcriptions IMTx52Hz v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6781
- Wer: 78.6424

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.3806        | 1.0   | 21   | 1.7951          | 935.5960 |
| 2.2732        | 2.0   | 42   | 1.1379          | 211.4238 |
| 1.5989        | 3.0   | 63   | 0.9543          | 159.4371 |
| 1.1012        | 4.0   | 84   | 0.8132          | 111.0927 |
| 0.9105        | 5.0   | 105  | 0.7807          | 57.7815  |
| 0.6273        | 6.0   | 126  | 0.7140          | 88.0795  |
| 0.6452        | 7.0   | 147  | 0.7138          | 71.5232  |
| 0.5428        | 8.0   | 168  | 0.6825          | 80.9603  |
| 0.4051        | 9.0   | 189  | 0.6651          | 79.9669  |
| 0.3947        | 10.0  | 210  | 0.6726          | 79.4702  |
| 0.3583        | 11.0  | 231  | 0.6810          | 77.1523  |
| 0.3139        | 12.0  | 252  | 0.6745          | 77.8146  |
| 0.3343        | 13.0  | 273  | 0.6796          | 67.0530  |
| 0.3315        | 14.0  | 294  | 0.6787          | 78.8079  |
| 0.2934        | 15.0  | 315  | 0.6781          | 78.6424  |


### Framework versions

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