xlm-roberta-base-finetuned-pquad-squad-finetuned-ExtraContext_IR_PersianQuAD

This model is a fine-tuned version of Gholamreza/xlm-roberta-base-finetuned-pquad-squad on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0832

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.5919	1.0	3244	0.8295
0.3759	2.0	6488	0.8892
0.2421	3.0	9732	1.0832

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0