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---
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
should probably proofread and complete it, then remove this comment. -->
# 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 |