---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper small model fine-tuned on moroccan darija
  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 model fine-tuned on moroccan darija

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Dvoice darija v2.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1732
- Wer: 14.1994

## 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 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

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.1141        | 2.3419  | 1000 | 0.2908          | 29.8924 |
| 0.0116        | 4.6838  | 2000 | 0.1821          | 15.6051 |
| 0.0009        | 7.0258  | 3000 | 0.1739          | 13.9249 |
| 0.0004        | 9.3677  | 4000 | 0.1721          | 14.3532 |
| 0.0003        | 11.7096 | 5000 | 0.1732          | 14.1994 |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1