indobert-abusive-language-classifier

deandrasetya/indobert-abusive-language-classifier

indobert-abusive-language-classifier is a text classification model from deandrasetya. 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.

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: Mar 14, 2023
Updated: Jun 23, 2023
SHA: 67bc482c

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Model card

From the Hugging Face model README

indobert-abusive-language-classifier

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

Train Loss: 0.1613
Train Sparse Categorical Accuracy: 0.9417
Validation Loss: 0.2973
Validation Sparse Categorical Accuracy: 0.8857
Epoch: 2

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:

optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Train Sparse Categorical Accuracy	Validation Loss	Validation Sparse Categorical Accuracy	Epoch
0.4496	0.7811	0.3146	0.8671	0
0.2437	0.9026	0.2959	0.8888	1
0.1613	0.9417	0.2973	0.8857	2

Framework versions

Transformers 4.30.2
TensorFlow 2.12.0
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Mar 14, 2023
Updated: Jun 23, 2023