Model: danielkorat/bge-small-en-v1.5_setfit-sst2-english
Author: danielkorat
Pipeline: text-classification
Library: setfit
Tags: setfit, pytorch, safetensors, bert, sentence-transformers, text-classification, generated_from_setfit_trainer, dataset:SetFit/sst2, arxiv:2209.11055, base_model:BAAI/bge-small-en-v1.5, base_model:finetune:BAAI/bge-small-en-v1.5, model-index, region:us
Base models (finetune): id: BAAI/bge-small-en-v1.5
Card metadata: library_name: setfit
tags: setfit, sentence-transformers, text-classification, generated_from_setfit_trainer
datasets: SetFit/sst2
metrics: accuracy
widget: a noble failure ., ms. seigner and mr. serrault bring fresh , unforced naturalism to their characters ., nothing can detract from the affection of that moral favorite : friends will be friends through thick and thin ., confuses its message with an ultimate desire to please , and contorting itself into an idea of expectation is the last thing any of these three actresses , nor their characters , deserve ., despite its promising cast of characters , big trouble remains a loosely tied series of vignettes which only prove that ` zany ' does n't necessarily mean ` funny . '
pipeline_tag: text-classification
inference: yes
base_model: BAAI/bge-small-en-v1.5
model-index: name: SetFit with BAAI/bge-small-en-v1.5
results: task: type: text-classification
name: Text Classification
dataset: name: SetFit/sst2
type: SetFit/sst2
split: test
metrics: type: accuracy
value: 0.8841743119266054
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 6830
Created: 2024-02-02 16:12:08