roberta-qa

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7423

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
0.7278	1.0	3787	0.6452
0.4734	2.0	7574	0.6819
0.3543	3.0	11361	0.7423

Framework versions

• Transformers 4.25.1
• Pytorch 1.11.0+cu102
• Datasets 2.8.0
• Tokenizers 0.13.2