boolq_model_v2

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: 0.5937

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.6242	1.0	590	0.5122
0.4715	2.0	1180	0.4762
0.3823	3.0	1770	0.5141
0.3196	4.0	2360	0.5855
0.2455	5.0	2950	0.5937

Framework versions

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