clinical_trial_stop_reasons

opentargets/clinical_trial_stop_reasons

clinical_trial_stop_reasons is a text classification model from opentargets. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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opentargets/clinical_trial_reason_to_stop

Model card

From the Hugging Face model README

Clinical trial stop reasons

This model is a fine-tuned version of bert-base-uncased on the task of classification of why a clinical trial has stopped early.

The dataset containing 3,747 manually curated reasons used for fine-tuning is available in the Hub.

More details on the model training are available in the GitHub project (link) and in the associated publication (DOI: 10.1038/s41588-024-01854-z).

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Thresh
No log	1.0	106	0.1824	0.9475
No log	2.0	212	0.1339	0.9630
No log	3.0	318	0.1109	0.9689
No log	4.0	424	0.0988	0.9741
0.1439	5.0	530	0.0943	0.9743
0.1439	6.0	636	0.0891	0.9763
0.1439	7.0	742	0.0899	0.9760

Framework versions

Transformers 4.26.0
Pytorch 1.12.1+cu102
Datasets 2.9.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Languages: en
Created: Feb 6, 2023
Updated: Jul 16, 2024