---
library_name: transformers
license: apache-2.0
base_model: Baraa123R/whisper-finetuned-Tunisian
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-finetuned-TheArabMaghreb2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-finetuned-TheArabMaghreb2

This model is a fine-tuned version of [Baraa123R/whisper-finetuned-Tunisian](https://huggingface.co/Baraa123R/whisper-finetuned-Tunisian) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3892
- Wer: 95.2957

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.0