ar_specific_model

This model is a fine-tuned version of ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1789
• Accuracy: 0.9437
• F1: 0.9452
• Precision: 0.9212
• Recall: 0.9706

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.202	1.0	1850	0.1789	0.9437	0.9452	0.9212	0.9706

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1