---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- alexstokes/masri_audio_transcription
metrics:
- wer
model-index:
- name: Whisper Small - Egyptian Arabic
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Egyptian Arabic Speech Recognition
      type: alexstokes/masri_audio_transcription
      args: 'split: train'
    metrics:
    - name: Wer
      type: wer
      value: 41.667657904127516
---

<!-- 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

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Egyptian Arabic Speech Recognition dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9560
- Wer: 41.6677

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.0518        | 7.6336  | 1000 | 0.7113          | 42.9166 |
| 0.004         | 15.2672 | 2000 | 0.8712          | 41.2157 |
| 0.001         | 22.9008 | 3000 | 0.9327          | 42.0245 |
| 0.0006        | 30.5344 | 4000 | 0.9560          | 41.6677 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1.post303
- Datasets 3.1.0
- Tokenizers 0.20.3