domenicrosati/deberta-v3-large-finetuned-dagpap22-only-and-real

<!-- 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-large-finetuned-dagpap22-only-and-real

This model is a fine-tuned version of domenicrosati/deberta-v3-large-finetuned-dagpap22-only-and-real on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0008
• —F1: 0.9999
• —Precision: 1.0
• —Recall: 0.9997

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: 6e-06
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.18.0
• —Pytorch 1.11.0
• —Datasets 2.1.0
• —Tokenizers 0.12.1