KIPBERT

kiipliwooke/KIPBERT

KIPBERT is a token classification model from kiipliwooke. 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: bert
Access: Public
Created: Sep 25, 2023
Updated: Sep 25, 2023
SHA: 73346301

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Base models

indolem/indobert-base-uncased

Datasets

id_nergrit_corpus

Model card

From the Hugging Face model README

KIPBERT

This model is a fine-tuned version of indolem/indobert-base-uncased on the id_nergrit_corpus dataset. It achieves the following results on the evaluation set:

Loss: 0.1731
Precision: 0.8058
Recall: 0.8325
F1: 0.8189
Accuracy: 0.9503

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.4926	1.0	784	0.1810	0.7860	0.8172	0.8013	0.9450
0.1627	2.0	1568	0.1731	0.8058	0.8325	0.8189	0.9503

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: bert
License: mit
Created: Sep 25, 2023
Updated: Sep 25, 2023