Model: Hulyyy/req-quality-setfit-2
Author: Hulyyy
Pipeline: text-classification
Library: setfit
Tags: setfit, safetensors, mpnet, sentence-transformers, text-classification, generated_from_setfit_trainer, arxiv:2209.11055, base_model:sentence-transformers/all-mpnet-base-v2, base_model:finetune:sentence-transformers/all-mpnet-base-v2, model-index, region:us
Base models (finetune): id: sentence-transformers/all-mpnet-base-v2
Card metadata: tags: setfit, sentence-transformers, text-classification, generated_from_setfit_trainer
widget: The system shall provide the concept of User Profile. The user profile contains the user-specific configurable parameters of the system. The user profile is associated with one and only one user that is registered in the system (has a user name and a password)., Using familiar terminology for navigation links: Navigation links particularly links representing the main navigation structure shoul`d be labelled with terms that are familiar to the user, based on his/her general knowledge, prior experience in the application domain or experience of using other systems., The System must provide End User and Administrator functions which are easy to use and intuitive throughout., Systems supporting OM should be able to provide the aggregate data necessary for health event monitoring to systems that support response tracking, such as the number of suspect cases, number of persons under isolation or quarantine, and the number of patients receiving countermeasures., Systems supporting OM must have the capability to capture data about any animals involved in an OM investigation, including: type (dog, monkey, etc), age, gender, owner's name and address, color, weight, and species. A Subject ID should also be collected for animals in an OM investigation. It may be a challenge to ensure unambiguous identification because demographic details of an animal are not easily identified; therefore, animals involved in investigations may need to be tagged.
metrics: accuracy
pipeline_tag: text-classification
library_name: setfit
inference: no
base_model: sentence-transformers/all-mpnet-base-v2
model-index: name: SetFit with sentence-transformers/all-mpnet-base-v2
results: task: type: text-classification
name: Text Classification
dataset: name: Unknown
type: unknown
split: test
metrics: type: accuracy
value: 0.6060606060606061
name: Accuracy
verified: no
Likes: 0 | All-time downloads: 126
Created: 2025-10-14 15:22:15