Model: MattiaTintori/ABSA_Polarity_EN
Author: MattiaTintori
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: base_model: sentence-transformers/all-mpnet-base-v2
library_name: setfit
metrics: f1
pipeline_tag: text-classification
tags: setfit, absa, sentence-transformers, text-classification, generated_from_setfit_trainer
widget: The ambience is very calm and quiet:The ambience is very calm and quiet., For great chinese food nearby, you have Wu:For great chinese food nearby, you have Wu Liang Ye and Grand Sichuan just a block away., The menu choices are similar but the taste:The menu choices are similar but the taste lacked more flavor than it looked., The food was authentic.:The food was authentic., prompt to jump behind the bar and fix drinks, they:The staff is very kind and well trained, they're fast, they are always prompt to jump behind the bar and fix drinks, they know details of every item in the menu and make excelent recomendations.
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: f1
value: 0.8170404156194555
name: F1
verified: no
Likes: 0 | All-time downloads: 126
Created: 2024-09-02 14:10:16