RuletakerBert

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

• Loss: 0.1587
• Accuracy: 0.9312

Model description

This model is to verify the entailment relationship between two sentence

Intended uses & limitations

We use it for multple purpose, including RLLF

Training and evaluation data

Ruletaker dataset

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 48
• eval_batch_size: 48
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1672	1.0	10004	0.1587	0.9312

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0