---
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small Arabic - Vashesh Jogani
  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. -->

# Whisper Small Arabic - Vashesh Jogani

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Arabic Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6893
- Wer: 1.0

## 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.8346        | 0.05  | 1000 | 0.8098          | 1.0 |
| 0.7309        | 0.1   | 2000 | 0.7476          | 1.0 |
| 0.686         | 0.15  | 3000 | 0.7093          | 1.0 |
| 0.7186        | 0.2   | 4000 | 0.6893          | 1.0 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.14.1