distilbert-srb-ner

Aleksandar/distilbert-srb-ner

distilbert-srb-ner is a token classification model from Aleksandar. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: distilbert
Access: Public
Created: Mar 2, 2022
Updated: Sep 9, 2021
SHA: 5d3c89f6

Datasets

wikiann

Model card

From the Hugging Face model README

distilbert-srb-ner

This model was trained from scratch on the wikiann dataset. It achieves the following results on the evaluation set:

Loss: 0.2972
Precision: 0.8871
Recall: 0.9100
F1: 0.8984
Accuracy: 0.9577

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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3818	1.0	625	0.2175	0.8175	0.8370	0.8272	0.9306
0.198	2.0	1250	0.1766	0.8551	0.8732	0.8640	0.9458
0.1423	3.0	1875	0.1702	0.8597	0.8763	0.8679	0.9473
0.079	4.0	2500	0.1774	0.8674	0.8875	0.8773	0.9515
0.0531	5.0	3125	0.2011	0.8688	0.8965	0.8825	0.9522
0.0429	6.0	3750	0.2082	0.8769	0.8970	0.8868	0.9538
0.032	7.0	4375	0.2268	0.8764	0.8916	0.8839	0.9528
0.0204	8.0	5000	0.2423	0.8726	0.8959	0.8841	0.9529
0.0148	9.0	5625	0.2522	0.8774	0.8991	0.8881	0.9538
0.0125	10.0	6250	0.2544	0.8823	0.9024	0.8922	0.9559
0.0108	11.0	6875	0.2592	0.8780	0.9041	0.8909	0.9553
0.007	12.0	7500	0.2672	0.8877	0.9056	0.8965	0.9571
0.0048	13.0	8125	0.2714	0.8879	0.9089	0.8982	0.9583
0.0049	14.0	8750	0.2872	0.8873	0.9068	0.8970	0.9573
0.0034	15.0	9375	0.2915	0.8883	0.9114	0.8997	0.9577
0.0027	16.0	10000	0.2890	0.8865	0.9103	0.8983	0.9581
0.0028	17.0	10625	0.2885	0.8877	0.9085	0.8980	0.9576
0.0014	18.0	11250	0.2928	0.8860	0.9073	0.8965	0.9577
0.0013	19.0	11875	0.2963	0.8856	0.9099	0.8976	0.9576
0.001	20.0	12500	0.2972	0.8871	0.9100	0.8984	0.9577

Framework versions

Transformers 4.9.2
Pytorch 1.9.0
Datasets 1.11.0
Tokenizers 0.10.1

Task: Token Classification
Library: transformers
Type: distilbert
Languages: sr
Created: Mar 2, 2022
Updated: Sep 9, 2021