bert-fa-base-uncased-finetuned-PersianQuAD_DeepseekQA_WS_QA-3epochs

This model is a fine-tuned version of HooshvareLab/bert-fa-base-uncased on Z-Jafari/PersianQuAD_DeepseekQA_WS_QA and Z-Jafari/PersianQuAD datasets. It achieves the following results on the evaluation set:

• Loss: 1.3573
• {'exact_match': 77.6, 'f1': 81.23218362942465}

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
0.7118	1.0	2066	1.0352
0.4217	2.0	4132	1.0647
0.2369	3.0	6198	1.3573

Framework versions

• Transformers 4.57.2
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1