mbert-finetuned-azerbaijani-ner

azizbarank/mbert-finetuned-azerbaijani-ner

mbert-finetuned-azerbaijani-ner is a token classification model from azizbarank. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Mar 2, 2022
Updated: Mar 1, 2022
SHA: fbba54b7

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Datasets

wikiann

Model card

From the Hugging Face model README

mbert-finetuned-azerbaijani-ner

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

Loss: 0.1385
Precision: 0.8899
Recall: 0.9154
F1: 0.9025
Accuracy: 0.9669

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
0.2928	1.0	625	0.1415	0.8584	0.8918	0.8748	0.9595
0.1254	2.0	1250	0.1335	0.8875	0.9119	0.8996	0.9637
0.077	3.0	1875	0.1385	0.8899	0.9154	0.9025	0.9669

Framework versions

Transformers 4.16.2
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.11.6

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 2, 2022
Updated: Mar 1, 2022