---
language:
- ar
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- MohammadJamalaldeen/Sudanese_Dialect
metrics:
- wer
model-index:
- name: Sudanese Whisper - MohammadJamalaldeen
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Sudanese Dialect
      type: MohammadJamalaldeen/Sudanese_Dialect
      args: 'config: ar, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 109.00443880786304
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Sudanese Whisper - MohammadJamalaldeen

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Sudanese Dialect dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9342
- Wer: 109.0044

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3694        | 1.66  | 1000 | 0.8267          | 83.6398  |
| 0.136         | 3.31  | 2000 | 0.8340          | 107.5460 |
| 0.0695        | 4.97  | 3000 | 0.8763          | 80.6806  |
| 0.0198        | 6.62  | 4000 | 0.9342          | 109.0044 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2