bert-large-uncased-whole-word-masking-finetuned-squad_qa_model

This model is a fine-tuned version of bert-large-uncased-whole-word-masking-finetuned-squad on the subjqa dataset. It achieves the following results on the evaluation set:

• Loss: 4.0801

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: 1e-07
• 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss
3.9274	1.0	32	4.2355
3.8299	2.0	64	4.1462
3.7131	3.0	96	4.0968
3.7329	4.0	128	4.0801

Framework versions

• Transformers 4.28.0
• Pytorch 1.13.0a0+d321be6
• Datasets 2.12.0
• Tokenizers 0.13.3