Model: Funnyworld1412/ABSA_mpnet_MiniLM-L6-polarity
Author: Funnyworld1412
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, absa, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:sentence-transformers/all-mpnet-base-v2, base_model:finetune:sentence-transformers/all-mpnet-base-v2, model-index, region:us
Base models (finetune): id: sentence-transformers/all-mpnet-base-v2
Card metadata: library_name: setfit
tags: setfit, absa, sentence-transformers, text-classification, generated_from_setfit_trainer
base_model: sentence-transformers/all-mpnet-base-v2
metrics: accuracy
widget: gamenya seru bagus paket:gamenya seru bagus paket worth it gak lag mudah mainnya tugas hadiah bagus modenya sayangnya game kadang ngebug gapapa kasih, tolong perbaiki analog nya pengaturan posisi:tolong perbaiki analog nya pengaturan posisi berpindah pindah, visualisasi bagus segi graphic:visualisasi bagus segi graphic bagus ya game cocok sih mantra nya banyakin contoh mantra penghilang, jaringan udah bagus game jaringan nya bagus:game nya udah bagus jaringan game nya bermasalah jaringan udah bagus game jaringan nya bagus mohon nambahin karakter, kali game stuk loading server pakai jaringan:game bagus cma kendala kali game stuk loading server pakai jaringan wifi masuk jaringan jaringan bermasalah main game online lancar game susah akses tolong diperbaiki supercell detik bermain coc lancar masuk kendala
pipeline_tag: text-classification
inference: no
model-index: name: SetFit Polarity Model with sentence-transformers/all-mpnet-base-v2
results: task: type: text-classification
name: Text Classification
dataset: name: Unknown
type: unknown
split: test
metrics: type: accuracy
value: 0.855072463768116
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 123
Created: 2024-06-25 20:11:57