roberta-base-finetuned-squad2

This model is a fine-tuned version of roberta-base on the squad_v2 dataset. It achieves the following results on the evaluation set:

• Loss: 0.9325

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: 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
0.88	1.0	8160	0.8129
0.6643	2.0	16320	0.8567
0.5096	3.0	24480	0.9325

Framework versions

• Transformers 4.12.2
• Pytorch 1.9.0+cu111
• Datasets 1.14.0
• Tokenizers 0.10.3