---
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 Premier dataset organisé de 52 Hertz dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6664
- Wer: 58.6381

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.0278        | 1.0   | 12   | 1.9196          | 763.3039 |
| 3.4923        | 2.0   | 24   | 1.4318          | 492.8121 |
| 1.9181        | 3.0   | 36   | 1.0781          | 178.0580 |
| 1.5961        | 4.0   | 48   | 0.9307          | 100.1261 |
| 1.2186        | 5.0   | 60   | 0.8604          | 93.4426  |
| 0.9392        | 6.0   | 72   | 0.8176          | 68.8525  |
| 0.8361        | 7.0   | 84   | 0.7492          | 38.7137  |
| 0.783         | 8.0   | 96   | 0.7197          | 69.2308  |
| 0.68          | 9.0   | 108  | 0.6915          | 40.7314  |
| 0.6685        | 10.0  | 120  | 0.6762          | 56.3682  |
| 0.5406        | 11.0  | 132  | 0.6753          | 63.0517  |
| 0.5741        | 12.0  | 144  | 0.6721          | 59.6469  |
| 0.5247        | 13.0  | 156  | 0.6677          | 62.9256  |
| 0.5278        | 14.0  | 168  | 0.6663          | 62.0429  |
| 0.4853        | 15.0  | 180  | 0.6664          | 58.6381  |


### Framework versions

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