wikineural-multilingual-ner-finetuned-ner

MrSemyon12/wikineural-multilingual-ner-finetuned-ner

wikineural-multilingual-ner-finetuned-ner is a token classification model from MrSemyon12. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: cc-by-nc-sa-4.0
Model type: bert
Access: Public
Created: Jul 25, 2022
Updated: Jul 25, 2022
SHA: 0fde76d0

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Datasets

skript

Model card

From the Hugging Face model README

wikineural-multilingual-ner-finetuned-ner

This model is a fine-tuned version of Babelscape/wikineural-multilingual-ner on the skript dataset. It achieves the following results on the evaluation set:

Loss: 0.1219
Precision: 0.9014
Recall: 0.9308
F1: 0.9159
Accuracy: 0.9658

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
No log	1.0	298	0.1208	0.9016	0.8988	0.9002	0.9604
0.118	2.0	596	0.1152	0.9016	0.9210	0.9112	0.9645
0.118	3.0	894	0.1219	0.9014	0.9308	0.9159	0.9658

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: bert
License: cc-by-nc-sa-4.0
Created: Jul 25, 2022
Updated: Jul 25, 2022