---
base_model: openai/whisper-large-v3
datasets:
- khaledalganem/sada2022
language:
- ar
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Whisper Large v3 Ar-luis.s
  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 Large v3 Ar-luis.s

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the SADA 2022 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6510

## 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: 8
- 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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4047        | 1.0   | 105  | 0.6539          |
| 0.5493        | 2.0   | 210  | 0.6151          |
| 0.1803        | 3.0   | 315  | 0.6510          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1