ft_clinical_bert_diabetes

ericntay/ft_clinical_bert_diabetes

ft_clinical_bert_diabetes is a text classification model from ericntay. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Aug 22, 2022
Updated: Aug 22, 2022
SHA: 265c71d7

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Model card

From the Hugging Face model README

ft_clinical_bert_diabetes

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1020
Accuracy: 0.9632
F1: 0.9578

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1641	1.0	1064	0.1604	0.9526	0.9462
0.1088	2.0	2128	0.0878	0.9623	0.9573
0.0956	3.0	3192	0.0963	0.9632	0.9578
0.0858	4.0	4256	0.1020	0.9632	0.9578

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Aug 22, 2022
Updated: Aug 22, 2022