roberta-base-finetuned-ner

hoanhkhoa/roberta-base-finetuned-ner

roberta-base-finetuned-ner is a token classification model from hoanhkhoa. 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: roberta
Access: Public
Created: Mar 2, 2022
Updated: Aug 18, 2021
SHA: bab456a6

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Model card

From the Hugging Face model README

roberta-base-finetuned-ner

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0381
Precision: 0.9469
Recall: 0.9530
F1: 0.9500
Accuracy: 0.9915

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: 16
eval_batch_size: 16
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
0.1328	1.0	753	0.0492	0.9143	0.9308	0.9225	0.9884
0.0301	2.0	1506	0.0378	0.9421	0.9474	0.9448	0.9910
0.0185	3.0	2259	0.0381	0.9469	0.9530	0.9500	0.9915

Framework versions

Transformers 4.9.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3

Task: Token Classification
Library: transformers
Type: roberta
License: mit
Created: Mar 2, 2022
Updated: Aug 18, 2021