Model: ahe61/my-awesome-setfit-model
Author: ahe61
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
base_model: sentence-transformers/paraphrase-mpnet-base-v2
metrics: accuracy
widget: a literate presentation that wonderfully weaves a murderous event in 1873 with murderous rage in 2002 . , an entertaining , colorful , action-filled crime story with an intimate heart . , drops you into a dizzying , volatile , pressure-cooker of a situation that quickly snowballs out of control , while focusing on the what much more than the why . , the most compelling wiseman epic of recent years . , in the end , the movie collapses on its shaky foundation despite the best efforts of director joe carnahan . 
pipeline_tag: text-classification
inference: yes
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: 0.8589449541284404
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 13
Created: 2024-05-21 11:41:18