Bio_ClinicalBERT-finetuned-skinwound

CptBaas/Bio_ClinicalBERT-finetuned-skinwound

Bio_ClinicalBERT-finetuned-skinwound is a text classification model from CptBaas. 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: Sep 18, 2022
Updated: Sep 21, 2022
SHA: 73fecf2c

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Model card

From the Hugging Face model README

Bio_ClinicalBERT-finetuned-skinwound

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: 0.3435
Accuracy: 0.8938
F1: 0.8884
Recall: 0.8938
Precision: 0.8857

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.5905	1.0	154	0.3423	0.8828	0.8416	0.8828	0.8064
0.3472	2.0	308	0.2942	0.8901	0.8753	0.8901	0.8800
0.2651	3.0	462	0.2977	0.8974	0.8858	0.8974	0.8889
0.2203	4.0	616	0.3224	0.9011	0.8945	0.9011	0.8930
0.164	5.0	770	0.3435	0.8938	0.8884	0.8938	0.8857

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Sep 18, 2022
Updated: Sep 21, 2022