fine_tuning_parsbert

This model is a fine-tuned version of pedramyazdipoor/parsbert_question_answering_PQuAD on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.9226

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.0619	1.0	2027	1.8176
1.1506	2.0	4054	2.1019
0.5167	3.0	6081	2.9226

Framework versions

• Transformers 4.17.0
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1