---
language:
- ar
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: "Whisper whisper-large-v3\t ar1 - Mohamed Shaaban"
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common standard ar Voice 11.0
      type: mozilla-foundation/common_voice_11_0
    metrics:
    - name: Wer
      type: wer
      value: 0.0
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper whisper-large-v3	 ar1 - Mohamed Shaaban

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the Common standard ar Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4220
- Wer: 0.0

## 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: 4
- eval_batch_size: 4
- 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: 1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5721        | 1.0   | 1    | 2.1602          | 100.0   |
| 0.5723        | 2.0   | 2    | 1.0610          | 33.3333 |
| 0.1861        | 3.0   | 3    | 0.6003          | 33.3333 |
| 0.0478        | 4.0   | 4    | 0.4661          | 0.0     |
| 0.0262        | 5.0   | 5    | 0.4220          | 0.0     |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2