---
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- generated_from_trainer
model-index:
- name: Whisper-small-Arabic-phoneme
  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-phoneme

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2263

## 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: 0.001
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0558        | 1.0   | 546  | 0.2097          |
| 0.0475        | 2.0   | 1092 | 0.2145          |
| 0.0471        | 3.0   | 1638 | 0.1868          |
| 0.022         | 4.0   | 2184 | 0.1879          |
| 0.0185        | 5.0   | 2730 | 0.1933          |
| 0.0118        | 6.0   | 3276 | 0.1861          |
| 0.0148        | 7.0   | 3822 | 0.1903          |
| 0.0044        | 8.0   | 4368 | 0.2087          |
| 0.0045        | 9.0   | 4914 | 0.2150          |
| 0.0027        | 10.0  | 5460 | 0.2263          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1