---
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
model-index:
- name: Nextayah Tiny Whisper Finetuned
  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. -->

# 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:
- eval_loss: 0.1059
- eval_wer: 16.4345
- eval_runtime: 49.0992
- eval_samples_per_second: 2.037
- eval_steps_per_second: 0.265
- epoch: 68.9825
- step: 2000

## 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: linear
- lr_scheduler_warmup_steps: 750
- training_steps: 2500
- mixed_precision_training: Native AMP

### Framework versions

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