indo_sentiment_indobertweet

AnwarKar/indo_sentiment_indobertweet

indo_sentiment_indobertweet is a text classification model from AnwarKar. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jul 27, 2024
Updated: Jul 27, 2024
SHA: 1e06a970

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Base models

indolem/indobertweet-base-uncased

Model card

From the Hugging Face model README

indo_sentiment_indobertweet

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

Loss: 0.1509
Accuracy: 0.9620
Precision: 0.9610
Recall: 0.9565
F1: 0.9586

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
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	Precision	Recall	F1
0.1722	1.0	248	0.1118	0.9611	0.9608	0.9547	0.9576
0.0746	2.0	496	0.1346	0.9638	0.9619	0.9594	0.9607
0.0269	3.0	744	0.1509	0.9620	0.9610	0.9565	0.9586

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 27, 2024
Updated: Jul 27, 2024