---
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- fawzanaramam/the-truth-1st-chapter
metrics:
- wer
model-index:
- name: Whisper Small Finetuned on Surah Fatiha
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: The Truth 2.0 - Surah Fatiha
      type: fawzanaramam/the-truth-1st-chapter
      args: 'config: ar, split: train'
    metrics:
    - name: Wer
      type: wer
      value: 0.0
---

<!-- 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 Finetuned on Surah Fatiha

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the The Truth 2.0 - Surah Fatiha dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0088
- Wer: 0.0

## 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: 10
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| No log        | 0.5556 | 10   | 1.1057          | 96.2766 |
| No log        | 1.1111 | 20   | 0.3582          | 29.7872 |
| 0.6771        | 1.6667 | 30   | 0.1882          | 23.4043 |
| 0.6771        | 2.2222 | 40   | 0.0928          | 25.0    |
| 0.0289        | 2.7778 | 50   | 0.0660          | 34.0426 |
| 0.0289        | 3.3333 | 60   | 0.0484          | 32.9787 |
| 0.0289        | 3.8889 | 70   | 0.0241          | 25.5319 |
| 0.0056        | 4.4444 | 80   | 0.0184          | 28.7234 |
| 0.0056        | 5.0    | 90   | 0.0111          | 0.0     |
| 0.0019        | 5.5556 | 100  | 0.0088          | 0.0     |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1