Model: stormsidali2001/IMRAD-introduction-move-one-sub-moves-classifier
Author: stormsidali2001
Pipeline: text-classification
Library: tf-keras
Tags: tf-keras, text-classification, en, dataset:stormsidali2001/IMRAD-introduction-sentences-moves-sub-moves-dataset, license:mit, region:us
Card metadata: library_name: tf-keras
pipeline_tag: text-classification
widget: text: However, existing research has primarily focused on urban environments, neglecting the unique challenges faced in rural areas.
output: label: Claim something is wrong with the previous research
score: 0.1, label: Highlight a gap in the field
score: 0.85, label: Raise a question where research in the field is unclear
score: 0.03, label: Extend prior research to add more information on the topic
score: 0.02, text: Previous studies have failed to adequately address the long-term effects of this intervention.
output: label: Claim something is wrong with the previous research
score: 0.9, label: Highlight a gap in the field
score: 0.05, label: Raise a question where research in the field is unclear
score: 0.03, label: Extend prior research to add more information on the topic
score: 0.02, text: It is therefore crucial to investigate the effectiveness of [your approach] in a rural context.
output: label: Claim something is wrong with the previous research
score: 0.05, label: Highlight a gap in the field
score: 0.15, label: Raise a question where research in the field is unclear
score: 0.1, label: Extend prior research to add more information on the topic
score: 0.7
license: mit
datasets: stormsidali2001/IMRAD-introduction-sentences-moves-sub-moves-dataset
language: en
metrics: f1, accuracy
base_model: google/bert-base-cased
Likes: 1 | All-time downloads: 48
Created: 2024-09-01 08:58:54