prototype_multiple_question

This model is a fine-tuned version of deepset/roberta-base-squad2 on the swag dataset. It achieves the following results on the evaluation set:

• Loss: 0.6287
• Accuracy: 0.8095

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: 5e-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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8148	1.0	4597	0.6297	0.7594
0.5495	2.0	9194	0.5768	0.7927
0.2971	3.0	13791	0.6287	0.8095

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3