bert-base-parsbert-uncased-finetuned-perQA

This model is a fine-tuned version of HooshvareLab/bert-base-parsbert-uncased on the persian_qa dataset. It achieves the following results on the evaluation set:

• Loss: 1.8648

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: 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
2.9599	1.0	565	2.0185
1.8889	2.0	1130	1.8088
1.4282	3.0	1695	1.8648

Framework versions

• Transformers 4.20.0
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1