IndobertTypeNewsclassification

rizalmilyardi/IndobertTypeNewsclassification

IndobertTypeNewsclassification 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: Sep 27, 2023
Updated: Sep 27, 2023
SHA: d641db47

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Base models

indolem/indobert-base-uncased

Model card

From the Hugging Face model README

IndobertTypeNewsclassification

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: 0.2873
Accuracy: 0.9465

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: 8
eval_batch_size: 8
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	Accuracy
No log	1.0	383	0.2427	0.9360
0.2414	2.0	766	0.2399	0.9439
0.0951	3.0	1149	0.2873	0.9465

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Sep 27, 2023
Updated: Sep 27, 2023