---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- DrAliGomaa/ar-eg-dataset
model-index:
- name: whisper-small-ar-draligomaa-dataset
  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-ar-draligomaa-dataset

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the draligomaa-dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2685
- Wer Ortho: 18.4164

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho |
|:-------------:|:------:|:----:|:---------------:|:---------:|
| 0.4073        | 0.3195 | 100  | 0.3614          | 25.9486   |
| 0.3108        | 0.6390 | 200  | 0.3088          | 23.1579   |
| 0.2658        | 0.9585 | 300  | 0.2840          | 19.9915   |
| 0.1807        | 1.2780 | 400  | 0.2759          | 19.6826   |
| 0.1591        | 1.5974 | 500  | 0.2685          | 18.4164   |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0