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bert-fa-QA-v1 – AI Model by ForutanRad | AlphaNeural AI
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bert-fa-QA-v1
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
2005.12515
apache-2.0
endpoints_compatible
us
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bert-fa-QA-v1
Persian Question and answer Model Based on Bert Model
This model is a fine-tuned version of
ParsBERT
on PersianQA dataset. It achieves the following results on the evaluation set:
Loss: 1.7297
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.2563
1.0
1126
1.7222
1.3372
2.0
2252
1.7297
Framework versions
Transformers 4.9.0
Pytorch 1.9.0+cu102
Tokenizers 0.10.3