21iridescent/RoBERTa-base-finetuned-squad2-lwt

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

Model description

Finetuned on SQUAD2.0 Dataset

F1: 83.738696142672

Trained on single V100 GPU

Everyone is welcome to use~

Hope you have a nice day

Performance

• —HasAnsexact': 77.1255060728745, 'HasAnsf1': 83.87812741260885, 'HasAns_total': 5928,
• —'NoAnsexact': 83.59966358284272, 'NoAnsf1': 83.59966358284272, 'NoAns_total': 5945,
• —'bestexact': 80.36721974227238, 'bestexact_thresh': 0.0,
• —'bestf1': 83.7386961426719, 'bestf1_thresh': 0.0,

• —'exact': 80.36721974227238,
• —'f1': 83.738696142672,
• —'total': 11873

roberta-base-finetuned-squad2-lwt

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: 0.9441

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.17.0
• —Pytorch 1.10.0+cu111
• —Datasets 2.0.0
• —Tokenizers 0.11.6