---
base_model: openai/whisper-small
datasets:
- test16082024Diny
language:
- fr
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Whisper Small Diny
  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. -->

# Whisper Small Diny

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Diny dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6336

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.853         | 1.0   | 9    | 3.5040          |
| 3.2074        | 2.0   | 18   | 3.0067          |
| 2.6069        | 3.0   | 27   | 2.4636          |
| 1.955         | 4.0   | 36   | 1.8001          |
| 1.1568        | 5.0   | 45   | 0.9291          |
| 0.7625        | 6.0   | 54   | 0.8403          |
| 0.585         | 7.0   | 63   | 0.7019          |
| 0.5889        | 8.0   | 72   | 0.7064          |
| 0.5227        | 9.0   | 81   | 0.6428          |
| 0.5145        | 10.0  | 90   | 0.6336          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1