---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- whitefox123/tashkeel
metrics:
- wer
model-index:
- name: Whisper Tiny Ar - AzeemX
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Tashkeel
      type: whitefox123/tashkeel
      config: default
      split: None
      args: 'config: ar, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 40.0
---

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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Tashkeel dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2374
- Wer: 40.0

## 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: 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     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2521        | 1.6   | 1000 | 0.3009          | 53.0811 |
| 0.146         | 3.2   | 2000 | 0.2476          | 42.5946 |
| 0.1238        | 4.8   | 3000 | 0.2334          | 40.1081 |
| 0.0916        | 6.4   | 4000 | 0.2372          | 39.5315 |
| 0.0866        | 8.0   | 5000 | 0.2374          | 40.0    |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0