---
library_name: transformers
language:
- fr
license: mit
base_model: mlouala/whisper-diin-v2
tags:
- generated_from_trainer
datasets:
- amphion/Emilia-Dataset
model-index:
- name: Whisper Diin - Part 3
  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 Diin - Part 3

This model is a fine-tuned version of [mlouala/whisper-diin-v2](https://huggingface.co/mlouala/whisper-diin-v2) on the Emilia-Dataset dataset.

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.21.0