Model: rovargasc/Classifier_sentiments_IA25-2V2
Author: rovargasc
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: a science-fiction pastiche so lacking in originality that if you stripped away its inspirations there would be precious little left . , it haunts you , you ca n't forget it , you admire its conception and are able to resolve some of the confusions you had while watching it . , nicks , seemingly uncertain what 's going to make people laugh , runs the gamut from stale parody to raunchy sex gags to formula romantic comedy . , if there 's one thing this world needs less of , it 's movies about college that are written and directed by people who could n't pass an entrance exam . , chokes on its own depiction of upper-crust decorum . 
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: 0.8577981651376146
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 21
Created: 2025-11-29 14:21:14