Model: vidhi0206/setfit-paraphrase-mpnet-sst5_v2
Author: vidhi0206
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: library_name: setfit
tags: setfit, sentence-transformers, text-classification, generated_from_setfit_trainer
metrics: accuracy
widget: we get some truly unique character studies and a cross-section of americana that hollywood could n't possibly fictionalize and be believed ., the movie is one of the best examples of artful large format filmmaking you are likely to see anytime soon ., my response to the film is best described as lukewarm ., the movie 's ripe , enrapturing beauty will tempt those willing to probe its inscrutable mysteries ., fear dot com is so rambling and disconnected it never builds any suspense .
pipeline_tag: text-classification
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: 0.5380090497737556
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 8
Created: 2024-02-21 14:52:33