---
library_name: transformers
license: mit
base_model: ArabicNLP/mT5-base_ar
tags:
- generated_from_trainer
model-index:
- name: generative_qa_model
  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. -->

# generative_qa_model

This model is a fine-tuned version of [ArabicNLP/mT5-base_ar](https://huggingface.co/ArabicNLP/mT5-base_ar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8481

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 13.9393       | 1.0   | 648  | 6.9092          |
| 5.0306        | 2.0   | 1296 | 2.7919          |
| 2.7294        | 3.0   | 1944 | 2.0758          |
| 2.067         | 4.0   | 2592 | 1.2531          |
| 1.5678        | 5.0   | 3240 | 0.9861          |
| 1.3934        | 6.0   | 3888 | 0.9093          |
| 1.2198        | 7.0   | 4536 | 0.8782          |
| 1.1412        | 8.0   | 5184 | 0.8594          |
| 1.1309        | 9.0   | 5832 | 0.8506          |
| 1.1577        | 10.0  | 6480 | 0.8481          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0