IndobertTypeNewsClassify02

rizalmilyardi/IndobertTypeNewsClassify02

IndobertTypeNewsClassify02 is a text classification model from rizalmilyardi. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Dec 17, 2023
Updated: Dec 17, 2023
SHA: 7f506fb6

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Model card

From the Hugging Face model README

IndobertTypeNewsClassify02

This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3068
Accuracy: 0.9491

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: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	192	0.2083	0.9295
No log	2.0	384	0.2298	0.9504
0.1682	3.0	576	0.2888	0.9452
0.1682	4.0	768	0.3007	0.9465
0.1682	5.0	960	0.2916	0.9517
0.0369	6.0	1152	0.3068	0.9491

Framework versions

Transformers 4.28.0
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Dec 17, 2023
Updated: Dec 17, 2023