---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: quran-whisper-ar-tiny-1
  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. -->

# quran-whisper-ar-tiny-1

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0968
- Wer: 174.7253

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 45
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.2643        | 0.3333 | 5    | 4.2666          | 209.8901 |
| 3.5798        | 0.6667 | 10   | 1.9318          | 173.6264 |
| 1.2993        | 1.0    | 15   | 1.0968          | 102.1978 |
| 0.8612        | 0.6667 | 20   | 0.9798          | 145.0549 |
| 0.7235        | 0.8333 | 25   | 0.7984          | 131.8681 |
| 0.5694        | 1.0    | 30   | 0.7010          | 127.4725 |
| 0.5781        | 0.7778 | 35   | 0.7017          | 378.0220 |
| 0.5704        | 0.8889 | 40   | 0.6511          | 341.7582 |
| 0.4247        | 1.0    | 45   | 0.5858          | 164.8352 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1