xlmr-finetuned-ner

Andrey1989/xlmr-finetuned-ner

xlmr-finetuned-ner is a token classification model from Andrey1989. 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: xlm-roberta
Access: Public
Created: Jun 13, 2022
Updated: Jun 13, 2022
SHA: 568f4227

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Datasets

wikiann

Model card

From the Hugging Face model README

xlmr-finetuned-ner

This model is a fine-tuned version of xlm-roberta-base on the wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.1395
Precision: 0.9044
Recall: 0.9137
F1: 0.9090
Accuracy: 0.9649

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
0.4215	1.0	938	0.1650	0.8822	0.8781	0.8802	0.9529
0.1559	2.0	1876	0.1412	0.9018	0.9071	0.9045	0.9631
0.1051	3.0	2814	0.1395	0.9044	0.9137	0.9090	0.9649

Framework versions

Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Jun 13, 2022
Updated: Jun 13, 2022