---
base_model: openai/whisper-large-v3
datasets:
- MightyStudent/Egyptian-ASR-MGB-3
language:
- ar
library_name: peft
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: Whisper large V3 Arabic
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: MightyStudent/Egyptian-ASR-MGB-3
      type: MightyStudent/Egyptian-ASR-MGB-3
    metrics:
    - type: wer
      value: 38.095238095238095
      name: Wer
---

<!-- 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 large V3 Arabic

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the MightyStudent/Egyptian-ASR-MGB-3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6890
- Wer: 38.0952

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.6852        | 0.2   | 10   | 0.7062          | 45.7143 |
| 0.7504        | 0.4   | 20   | 0.6994          | 45.7143 |
| 0.7219        | 0.6   | 30   | 0.6940          | 45.7143 |
| 0.6971        | 0.8   | 40   | 0.6905          | 45.7143 |
| 0.6846        | 1.0   | 50   | 0.6890          | 38.0952 |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1