boolq_model

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

• Loss: 0.9634

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-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.6143	1.0	1179	0.5687
0.4884	2.0	2358	0.4964
0.3786	3.0	3537	0.5867
0.3378	4.0	4716	0.8469
0.3052	5.0	5895	0.9634

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0