Model: hanifnoerr/Kemenkeu-Sentiment-Classifier
Author: hanifnoerr
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, bert, text-classification, generated_from_trainer, id, doi:10.57967/hf/0520, license:mit, model-index, endpoints_compatible, region:us
Card metadata: license: mit
tags: generated_from_trainer
metrics: f1, accuracy
model-index: name: Kemenkeu-Sentiment-Classifier
results: task: name: Text Classification
type: text-classification
metrics: name: Accuracy
type: accuracy
value: 0.66
verified: no, name: F1
type: f1
value: 0.6368
verified: no
language: id
pipeline_tag: text-classification
widget: text: sudah beli makan buat sahur?
example_title: contoh tidak relevan, text: Mengawal APBN, Indonesia Maju
example_title: contoh kalimat
Likes: 0 | All-time downloads: 469
Created: 2023-04-08 02:58:04