bert-fa-base-uncased-finetuned-PersianQuAD_DeepseekQA_WS_QA-3epochs – AI Model by Z-Jafari | AlphaNeural AI

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Z-Jafari/
bert-fa-base-uncased-finetuned-PersianQuAD_DeepseekQA_WS_QA-3epochs

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HooshvareLab/bert-fa-base-uncased

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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