bert-large-uncased-whole-word-masking-squad2-finetuned-islamic-squad

This model is a fine-tuned version of deepset/bert-large-uncased-whole-word-masking-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4152

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: 5e-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.3	100	0.3653
No log	2.6	200	0.4152

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2