---
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: Whisper Nextayah Tiny
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Synth verses
      type: numan98/synth-incorrect-verses
      config: default
      split: None
      args: train
    metrics:
    - name: Wer
      type: wer
      value: 20.251905866755056
---

<!-- 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 Nextayah Tiny

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 Synth verses dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0659
- Wer: 20.2519

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1019        | 1.0753 | 100  | 0.0978          | 26.5827 |
| 0.0481        | 2.1505 | 200  | 0.0843          | 24.7265 |
| 0.0137        | 3.2258 | 300  | 0.0715          | 21.5777 |
| 0.0042        | 4.3011 | 400  | 0.0659          | 20.2519 |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0