Model: abdullahkhudhair/setfit-paraphrase-mpnet-base-v2-sst2
Author: abdullahkhudhair
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:sentence-transformers/paraphrase-mpnet-base-v2, base_model:finetune:sentence-transformers/paraphrase-mpnet-base-v2, model-index, region:us
Base models (finetune): id: sentence-transformers/paraphrase-mpnet-base-v2
Card metadata: tags: setfit, sentence-transformers, text-classification, generated_from_setfit_trainer
widget: the acting , costumes , music , cinematography and sound are all astounding given the production 's austere locales . , byler reveals his characters in a way that intrigues and even fascinates us , and he never reduces the situation to simple melodrama . , a sequence of ridiculous shoot - 'em - up scenes . , ... designed to provide a mix of smiles and tears , `` crossroads '' instead provokes a handful of unintentional howlers and numerous yawns . , it 's a cookie-cutter movie , a cut-and-paste job . 
metrics: accuracy
pipeline_tag: text-classification
library_name: setfit
inference: yes
base_model: sentence-transformers/paraphrase-mpnet-base-v2
model-index: name: SetFit with sentence-transformers/paraphrase-mpnet-base-v2
results: task: type: text-classification
name: Text Classification
dataset: name: Unknown
type: unknown
split: test
metrics: type: accuracy
value: 0.8484455958549223
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 8
Created: 2025-01-14 05:56:12