clinical-finetuned-AgitationModel

Sandeepanie/clinical-finetuned-AgitationModel

clinical-finetuned-AgitationModel is a text classification model from Sandeepanie. 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 31, 2022
Updated: Aug 31, 2022
SHA: 86ea5ad1

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Model card

From the Hugging Face model README

clinical-finetuned-AgitationModel

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9746
Accuracy: 0.88
Precision: 0.9178
Recall: 0.9178
F1: 0.9178

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.0949	1.0	50	1.0393	0.85	0.8816	0.9178	0.8993
0.0475	2.0	100	1.0619	0.85	0.8816	0.9178	0.8993
0.0149	3.0	150	0.9746	0.88	0.9178	0.9178	0.9178

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Aug 31, 2022
Updated: Aug 31, 2022