bkk-ner-model

napatswift/bkk-ner-model

bkk-ner-model is a token classification model from napatswift. 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: Dec 26, 2022
Updated: Dec 27, 2022
SHA: 252e02e4

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Model card

From the Hugging Face model README

bkk-ner-model

This model is a fine-tuned version of Geotrend/bert-base-th-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0518
Precision: 0.8850
Recall: 0.9615
F1: 0.9217
Accuracy: 0.9822

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	8	0.5592	0.3698	0.6827	0.4797	0.7818
No log	2.0	16	0.4491	0.4831	0.8269	0.6099	0.8062
No log	3.0	24	0.3738	0.6226	0.9519	0.7529	0.8399
No log	4.0	32	0.1781	0.6691	0.8942	0.7654	0.9401
No log	5.0	40	0.2201	0.8095	0.9808	0.8870	0.9204
No log	6.0	48	0.0936	0.8130	0.9615	0.8811	0.9710
No log	7.0	56	0.0692	0.8197	0.9615	0.8850	0.9757
No log	8.0	64	0.0712	0.8264	0.9615	0.8889	0.9710
No log	9.0	72	0.0575	0.8621	0.9615	0.9091	0.9803
No log	10.0	80	0.0625	0.8487	0.9712	0.9058	0.9766
No log	11.0	88	0.0580	0.8584	0.9327	0.8940	0.9766
No log	12.0	96	0.0551	0.8684	0.9519	0.9083	0.9813
No log	13.0	104	0.0554	0.8761	0.9519	0.9124	0.9803
No log	14.0	112	0.0535	0.8772	0.9615	0.9174	0.9813
No log	15.0	120	0.0518	0.8850	0.9615	0.9217	0.9822

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Dec 26, 2022
Updated: Dec 27, 2022