Model: galennolan/indobert-b-p1-indoemotion-5class
Author: galennolan
Pipeline: text-classification
Tags: safetensors, bert, indobert, emotion-classification, text-classification, indonesian, torch, id, dataset:PRDECT-ID, base_model:indobenchmark/indobert-base-p1, base_model:finetune:indobenchmark/indobert-base-p1, license:mit, model-index, region:us
Base models (finetune): id: indobenchmark/indobert-base-p1
Card metadata: license: mit
tags: indobert, emotion-classification, text-classification, indonesian, torch
language: id
datasets: PRDECT-ID
model-index: name: IndoBERT Emotion Classification (5-Class)
results: task: type: text-classification
name: Emotion Classification
dataset: name: PRDECT-ID
type: text
description: A dataset of Indonesian product reviews labeled with five emotion categories: love, happiness, anger, fear, and sadness.

metrics: name: Accuracy
type: accuracy
value: 0.7167
verified: no, name: F1 Score
type: f1
value: 0.7125
verified: no, name: Precision
type: precision
value: 0.7179
verified: no, name: Recall
type: recall
value: 0.7167
verified: no
base_model: indobenchmark/indobert-base-p1
Likes: 0 | All-time downloads: 53
Created: 2025-06-18 07:46:33