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---
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: 0.3100
- Wer: 19.5896
## 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: 8e-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: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 2.4225 | 1.0 | 21 | 0.9856 | 61.0075 |
| 1.1531 | 2.0 | 42 | 0.5645 | 34.5149 |
| 0.6599 | 3.0 | 63 | 0.3796 | 29.8507 |
| 0.4498 | 4.0 | 84 | 0.3136 | 26.6791 |
| 0.3502 | 5.0 | 105 | 0.2993 | 26.6791 |
| 0.2559 | 6.0 | 126 | 0.3062 | 25.5597 |
| 0.1846 | 7.0 | 147 | 0.2905 | 21.6418 |
| 0.1538 | 8.0 | 168 | 0.3110 | 23.6940 |
| 0.1498 | 9.0 | 189 | 0.2954 | 21.0821 |
| 0.1431 | 10.0 | 210 | 0.2963 | 20.7090 |
| 0.0861 | 11.0 | 231 | 0.2945 | 19.5896 |
| 0.082 | 12.0 | 252 | 0.3092 | 22.2015 |
| 0.0786 | 13.0 | 273 | 0.2977 | 19.0299 |
| 0.072 | 14.0 | 294 | 0.2997 | 21.2687 |
| 0.0613 | 15.0 | 315 | 0.3030 | 20.3358 |
| 0.0489 | 16.0 | 336 | 0.3104 | 20.3358 |
| 0.0527 | 17.0 | 357 | 0.3075 | 19.4030 |
| 0.052 | 18.0 | 378 | 0.3099 | 19.7761 |
| 0.0518 | 19.0 | 399 | 0.3101 | 19.5896 |
| 0.0491 | 20.0 | 420 | 0.3100 | 19.5896 |
### Framework versions
- PEFT 0.18.1
- Transformers 4.57.3
- Pytorch 2.9.1+cu130
- Datasets 4.4.2
- Tokenizers 0.22.2 |