---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: arbml/whisper-small-ar
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small Egyptian Arabic - Mohamed Abu El-Nasr
  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. -->

# Whisper Small Egyptian Arabic - Mohamed Abu El-Nasr

This model is a fine-tuned version of [arbml/whisper-small-ar](https://huggingface.co/arbml/whisper-small-ar) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5173
- Wer: 37.0920

## 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: 5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- training_steps: 1920
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 2.0487        | 0.2510 | 60   | 1.6404          | 72.8783 |
| 1.1414        | 0.5021 | 120  | 1.0603          | 73.3333 |
| 0.8749        | 0.7531 | 180  | 0.8653          | 64.1543 |
| 0.7374        | 1.0042 | 240  | 0.6885          | 53.0366 |
| 0.5152        | 1.2552 | 300  | 0.5685          | 49.6142 |
| 0.4816        | 1.5063 | 360  | 0.5440          | 58.4965 |
| 0.4465        | 1.7573 | 420  | 0.5249          | 62.1563 |
| 0.4399        | 2.0084 | 480  | 0.5115          | 67.2404 |
| 0.3324        | 2.2594 | 540  | 0.5136          | 54.7774 |
| 0.3366        | 2.5105 | 600  | 0.5054          | 49.0010 |
| 0.3232        | 2.7615 | 660  | 0.4949          | 42.5717 |
| 0.3374        | 3.0126 | 720  | 0.4878          | 43.4817 |
| 0.2295        | 3.2636 | 780  | 0.4930          | 46.7062 |
| 0.2479        | 3.5146 | 840  | 0.4895          | 41.6617 |
| 0.2419        | 3.7657 | 900  | 0.4896          | 46.3699 |
| 0.2373        | 4.0167 | 960  | 0.4873          | 39.5846 |
| 0.1887        | 4.2678 | 1020 | 0.4961          | 37.0920 |
| 0.2069        | 4.5188 | 1080 | 0.4944          | 43.1652 |
| 0.1904        | 4.7699 | 1140 | 0.4954          | 39.9209 |
| 0.1856        | 5.0209 | 1200 | 0.4942          | 39.4857 |
| 0.1404        | 5.2720 | 1260 | 0.5025          | 45.1434 |
| 0.1706        | 5.5230 | 1320 | 0.5023          | 40.1978 |
| 0.1485        | 5.7741 | 1380 | 0.5034          | 40.6924 |
| 0.1568        | 6.0251 | 1440 | 0.5051          | 45.3412 |
| 0.1112        | 6.2762 | 1500 | 0.5109          | 44.9456 |
| 0.1311        | 6.5272 | 1560 | 0.5112          | 43.6400 |
| 0.1097        | 6.7782 | 1620 | 0.5129          | 46.5282 |
| 0.1333        | 7.0293 | 1680 | 0.5129          | 42.9080 |
| 0.1153        | 7.2803 | 1740 | 0.5167          | 43.1058 |
| 0.1059        | 7.5314 | 1800 | 0.5171          | 43.9763 |
| 0.116         | 7.7824 | 1860 | 0.5168          | 43.8773 |
| 0.1133        | 8.0335 | 1920 | 0.5173          | 42.4926 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1