deberta-base-finetuned-aqa-newsqa

This model is a fine-tuned version of stevemobs/deberta-base-finetuned-aqa on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7657

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: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.6883	1.0	17307	0.7325
0.4807	2.0	34614	0.7657

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu113
• Datasets 2.2.2
• Tokenizers 0.12.1