---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-medium
tags:
- automatic-speech-recognition
- arabic
- generated_from_trainer
datasets:
- itskavya/gp
metrics:
- wer
model-index:
- name: Whisper Medium Informal Arabic
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Informal Arabic
      type: itskavya/gp
      config: default
      split: None
      args: default
    metrics:
    - name: Wer
      type: wer
      value: 27.51652854083248
---

<!-- 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 Medium Informal Arabic

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Informal Arabic dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5486
- Wer: 27.5165

## 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: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.0515        | 4.0650  | 1000 | 0.4619          | 30.4498 |
| 0.0028        | 8.1301  | 2000 | 0.5296          | 28.2894 |
| 0.0005        | 12.1951 | 3000 | 0.5486          | 27.5165 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0