Model: vidhi0206/setfit-paraphrase-mpnet-amazon_cf
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: After waiting for what felt like forever for this book, I figured I would be greatly disappointed., I live in an apartment building in NYC, which should be a torture test for technology like this., I received 1500 count instead of 1200 which makes the deal even better!!, I wished it had the output on back instead of on the side., What a beautiful family saga this was, and such a surprise as I had not read Sarah Lark before, and will of course read again
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: 0.7283582089552239
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 9
Created: 2024-02-29 10:09:44