Model: kelingwang/bert-causation-rating-dgt
Author: kelingwang
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, bert, text-classification, en, dataset:kelingwang/causation_strength_rating, base_model:dmis-lab/biobert-base-cased-v1.2, base_model:finetune:dmis-lab/biobert-base-cased-v1.2, license:mit, model-index, endpoints_compatible, region:us
Base models (finetune): id: dmis-lab/biobert-base-cased-v1.2
Card metadata: license: mit
language: en
metrics: accuracy, mse, f1
base_model: dmis-lab/biobert-base-cased-v1.2, google-bert/bert-base-cased, kelingwang/bert-causation-rating-pubmed
pipeline_tag: text-classification
model-index: name: bert-causation-rating-dgt
results: task: type: text-classification
dataset: name: rating_dgt
type: dataset
metrics: name: off by 1 accuracy
type: accuracy
value: 76.92307692307693
verified: no, name: mean squared error for ordinal data
type: mse
value: 0.9230769230769231
verified: no, name: weighted F1 score
type: f1
value: 0.7767905245021951
verified: no, name: Kendall's tau coefficient
type: Kendall's tau
value: 0.7686967495426562
verified: no
source: name: Keling Wang
url: https://github.com/Keling-Wang
datasets: kelingwang/causation_strength_rating
library_name: transformers
Likes: 0 | All-time downloads: 73
Created: 2025-01-15 14:16:03