---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: tarteel-ai/whisper-tiny-ar-quran
tags:
- generated_from_trainer
datasets:
- numan98/synth-incorrect-verses
metrics:
- wer
model-index:
- name: Nextayah Tiny Whisper Finetuned
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Synthetic Incorrect Verses
      type: numan98/synth-incorrect-verses
      config: default
      split: None
      args: 'split: test'
    metrics:
    - name: Wer
      type: wer
      value: 17.25043782837128
---

<!-- 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. -->

# Nextayah Tiny Whisper Finetuned

This model is a fine-tuned version of [tarteel-ai/whisper-tiny-ar-quran](https://huggingface.co/tarteel-ai/whisper-tiny-ar-quran) on the Synthetic Incorrect Verses dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0921
- Wer: 17.2504

## 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: 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: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.0217        | 8.7719  | 500  | 0.1236          | 22.5044 |
| 0.0025        | 17.5439 | 1000 | 0.1063          | 21.0158 |
| 0.0001        | 26.3158 | 1500 | 0.0910          | 17.4256 |
| 0.0001        | 35.0877 | 2000 | 0.0921          | 17.2504 |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0