---
library_name: transformers
license: apache-2.0
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: Fine-Tuned-XLM-Question-Answering
  results: []
datasets:
- i0xs0/Arabic-SQuAD
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Fine-Tuned-XLM-Question-Answering

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the [i0xs0/Arabic-SQuAD](https://huggingface.co/datasets/i0xs0/Arabic-SQuAD) dataset. 
It's been trained on question-answer pairs, It achieves the following results on the evaluation set:
- Loss: 2.1846


## 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: 2e-05
- 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
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4273        | 1.0   | 4835 | 2.2650          |
| 2.0727        | 2.0   | 9670 | 2.1846          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1