Model: lucienbaumgartner/informational_content_classifier
Author: lucienbaumgartner
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, precision, recall, f1
widget: Ms. Russell's decision to not install flood protection was likely made after careful consideration and evaluation of the situation., I cannot determine an appropriate level of punishment as I lack context about the situation and Ms. Russel's responsibilities., The lack of installation is a serious oversight, but Ms. Russell may have had valid reasons or unforeseen circumstances that contributed to the delay., As an AI, I cannot form opinions or emotions, but considering the statement's context, it implies Ms. Russel should have had knowledge of potential flood risks for this year., I lack information about Ms. Russell and the potential for a flood to determine the extent of my agreement with the statement.
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: 0.95
name: Accuracy
verified: no, type: precision
value: 0.95
name: Precision
verified: no, type: recall
value: 0.95
name: Recall
verified: no, type: f1
value: 0.95
name: F1
verified: no
Likes: 0 | All-time downloads: 121
Created: 2024-09-09 21:06:22