Model: mtyrrell/CPU_Target_Classifier
Author: mtyrrell
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, mpnet, text-classification, generated_from_trainer, base_model:sentence-transformers/all-mpnet-base-v2, base_model:finetune:sentence-transformers/all-mpnet-base-v2, license:apache-2.0, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-mpnet-base-v2
Card metadata: license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags: generated_from_trainer
metrics: accuracy
model-index: name: IKT_classifier_target_best
widget: text: To reduce greenhouse gas emissions by 37% below 2005 levels in 2025, and by 43% below 2005 levels in 2030.
example_title: TARGET, text: Change fiscal policies on fossil fuel by 2025 to enable the transition to 100% renewable energy generation in the transportation sector
example_title: NEGATIVE
Likes: 0 | All-time downloads: 518
Created: 2023-07-23 16:58:59