---
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- ar_text_converter
- generated_from_trainer
datasets:
- openai/whisper-small
model-index:
- name: whisper Small Ar - mvymodel
  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 Ar - mvymodel

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Our Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0742

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0638        | 1.0   | 2494  | 0.0655          |
| 0.0524        | 2.0   | 4988  | 0.0584          |
| 0.0373        | 3.0   | 7482  | 0.0564          |
| 0.0287        | 4.0   | 9976  | 0.0600          |
| 0.0136        | 5.0   | 12470 | 0.0646          |
| 0.0069        | 6.0   | 14964 | 0.0674          |
| 0.0031        | 7.0   | 17458 | 0.0700          |
| 0.0013        | 8.0   | 19952 | 0.0723          |
| 0.0005        | 9.0   | 22446 | 0.0736          |
| 0.0002        | 10.0  | 24940 | 0.0742          |


### Framework versions

- Transformers 4.32.0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2