Model: kelingwang/bert-causation-rating-pubmed
Author: kelingwang
Pipeline: text-classification
Tags: safetensors, bert, text-classification, en, base_model:dmis-lab/biobert-base-cased-v1.2, base_model:finetune:dmis-lab/biobert-base-cased-v1.2, license:mit, model-index, 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
pipeline_tag: text-classification
model-index: name: bert-causation-rating-pubmed
results: task: type: text-classification
dataset: name: pubmed_textdata
type: dataset
metrics: name: off by 1 accuracy
type: accuracy
value: 83.5621
verified: no, name: mean squared error for ordinal data
type: mse
value: 0.8108
verified: no, name: weighted F1 score
type: f1
value: 0.8208
verified: no, name: Kendall's tau coefficient
type: Kendall's tau
value: 0.7929
verified: no
Likes: 1 | All-time downloads: 131
Created: 2024-10-07 20:28:11