parsbert-persianQA – AI Model by azizmatin | AlphaNeural AI

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azizmatin/
parsbert-persianQA

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question-answering

generated_from_trainer

azizmatin/question_answering

HooshvareLab/bert-fa-zwnj-base

endpoints_compatible

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parsbert-persianQA

This model is a fine-tuned version of HooshvareLab/bert-fa-zwnj-base on azizmatin/question_answering dataset. It achieves the following results on the evaluation set:

Loss: 3.4521

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: 1
eval_batch_size: 1
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
2.8464	1.0	9205	2.5020
2.1887	2.0	18410	2.6621
1.2823	3.0	27615	3.4521

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1