---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: arabic
  results: []
---

<!-- 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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bynesoft/Whisper-Arabic/runs/n2j5oczg)
# arabic

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1384
- Wer: 9.3775

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.1656        | 0.4963 | 875  | 0.1865          | 14.2234 |
| 0.1473        | 0.9926 | 1750 | 0.1515          | 14.5240 |
| 0.0949        | 1.4889 | 2625 | 0.1441          | 11.1473 |
| 0.0762        | 1.9853 | 3500 | 0.1347          | 12.8537 |
| 0.0459        | 2.4816 | 4375 | 0.1380          | 11.4366 |
| 0.0433        | 2.9779 | 5250 | 0.1312          | 10.1302 |
| 0.0106        | 3.4742 | 6125 | 0.1406          | 9.6804  |
| 0.0124        | 3.9705 | 7000 | 0.1384          | 9.3775  |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.1.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1