---
language:
- ara
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- uoseftalaat/hoping_its_final_dataset
metrics:
- wer
model-index:
- name: Whisper Small for quran recognition
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Quran_requiters
      type: uoseftalaat/hoping_its_final_dataset
      config: default
      split: test
      args: 'config: default, split: train'
    metrics:
    - name: Wer
      type: wer
      value: 3.3350524325253565
---

<!-- 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 for quran recognition

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Quran_requiters dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0178
- Wer: 3.3351

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0185        | 1.62  | 500  | 0.0355          | 7.8563 |
| 0.0012        | 3.24  | 1000 | 0.0224          | 4.4525 |
| 0.0004        | 4.85  | 1500 | 0.0186          | 3.4554 |
| 0.0002        | 6.47  | 2000 | 0.0178          | 3.3351 |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.15.1