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

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deberta-v3-large-finetuned-dagpap22-only

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

• —Loss: 0.0037
• —F1: 0.9995
• —Precision: 0.9992
• —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: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.21.0
• —Pytorch 1.12.0+cu113
• —Datasets 2.4.0
• —Tokenizers 0.12.1