BERT_Question_only

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

• Loss: 0.9159
• Accuracy: 0.5754

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: 32
• 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	Accuracy
0.9865	1.0	619	0.9299	0.5539
0.927	2.0	1238	0.9081	0.5755
0.8925	3.0	1857	0.9159	0.5754

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.0.dev20230220
• Datasets 2.10.0
• Tokenizers 0.11.0