mrm8488/deberta-v3-small-finetuned-qnli

<!-- 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. -->

DeBERTa-v3-small fine-tuned on QNLI

This model is a fine-tuned version of microsoft/deberta-v3-small on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2143
• —Accuracy: 0.9151

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: 3e-05
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5.0

Training results

Framework versions

• —Transformers 4.13.0.dev0
• —Pytorch 1.10.0+cu111
• —Datasets 1.16.1
• —Tokenizers 0.10.3