metadata

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

Fine-Tuned-XLM-Question-Answering

This model is a fine-tuned version of xlm-roberta-base on the 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