Model: sultanaw/fine_tuned_setfit_pydata_demo
Author: sultanaw
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, sentence-transformers, text-classification, generated_from_setfit_trainer, dataset:SetFit/SentEval-CR, 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
datasets: SetFit/SentEval-CR
metrics: accuracy
widget: you can take pic of your friends and the picture will pop up when they call ., the speakerphone , the radio , all features work perfectly ., a ) the picture quality ( color and sharpness of focusing ) are so great , it completely eliminated my doubt about digital imaging -- - how could one eat rice one grain at a time : - ) ), so far the dvd works so i hope it does n 't break down like the reviews i 've read ., i have a couple hundred contacts and the menu loads within a few seconds , no big deal .
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: SetFit/SentEval-CR
type: SetFit/SentEval-CR
split: test
metrics: type: accuracy
value: 0.8313413014608234
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 13
Created: 2024-06-13 20:18:35