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bert-fa-QA-v1

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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model_index:
  - name: bert-fa-QA-v1
    results:
      - task:
          name: Question Answering
          type: question-answering

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