Model: opentargets/clinical_trial_stop_reasons
Author: opentargets
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, tensorboard, safetensors, bert, text-classification, generated_from_trainer, medical, en, dataset:opentargets/clinical_trial_reason_to_stop, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, doi:10.57967/hf/2599, license:apache-2.0, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-uncased
Card metadata: language: en
license: apache-2.0
library_name: transformers
tags: generated_from_trainer, medical
datasets: opentargets/clinical_trial_reason_to_stop
metrics: accuracy
widget: text: Study stopped due to problems to recruit patients
example_title: Enrollment issues, text: Efficacy endpoint unmet
example_title: Negative reasons, text: Study stopped due to unexpected adverse effects
example_title: Safety, text: Study paused due to the pandemic
example_title: COVID-19
base_model: bert-base-uncased
model-index: name: stop_reasons_classificator_multilabel
Likes: 4 | All-time downloads: 909
Created: 2023-02-06 14:57:47