Gladiator/microsoft-deberta-v3-large_ner_conll2003

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microsoft-deberta-v3-largenerconll2003

This model is a fine-tuned version of microsoft/deberta-v3-large on the conll2003 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0293
• —Precision: 0.9667
• —Recall: 0.9724
• —F1: 0.9695
• —Accuracy: 0.9945

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.11.0
• —Datasets 2.1.0
• —Tokenizers 0.12.1