---
library_name: transformers
license: apache-2.0
base_model: YazanSalameh/Whisper-base-Arabic
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper-Base-Ar-Tashkeel-Dev - AzeemX
  results: []
---

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# Whisper-Base-Ar-Tashkeel-Dev - AzeemX

This model is a fine-tuned version of [YazanSalameh/Whisper-base-Arabic](https://huggingface.co/YazanSalameh/Whisper-base-Arabic) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0941
- Wer: 85.6472

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1844        | 1.0323 | 1000 | 0.1771          | 99.3469 |
| 0.0986        | 2.0645 | 2000 | 0.1315          | 95.5247 |
| 0.0572        | 3.0968 | 3000 | 0.1108          | 87.4914 |
| 0.0355        | 4.1290 | 4000 | 0.0985          | 85.2242 |
| 0.0323        | 5.1613 | 5000 | 0.0941          | 85.6472 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.3.1
- Datasets 3.0.1
- Tokenizers 0.20.0