DeBERTa-finetuned-ner-conll2003

ViktorDo/DeBERTa-finetuned-ner-conll2003

DeBERTa-finetuned-ner-conll2003 is a token classification model from ViktorDo. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Jun 13, 2023
Updated: Jun 13, 2023
SHA: b070109c

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Datasets

conll2003

Model card

From the Hugging Face model README

DeBERTa-finetuned-ner-conll2003

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

Loss: 0.0406
Precision: 0.9517
Recall: 0.9643
F1: 0.9580
Accuracy: 0.9914

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
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0597	1.0	1756	0.0486	0.9316	0.9493	0.9404	0.9884
0.0286	2.0	3512	0.0413	0.9479	0.9606	0.9542	0.9908
0.0173	3.0	5268	0.0406	0.9517	0.9643	0.9580	0.9914

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Jun 13, 2023
Updated: Jun 13, 2023