BioLinkBERT-LitCovid-v1.2

sofia-todeschini/BioLinkBERT-LitCovid-v1.2

BioLinkBERT-LitCovid-v1.2 is a text classification model from sofia-todeschini. 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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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Aug 7, 2023
Updated: Aug 7, 2023
SHA: 81aa0692

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Model card

From the Hugging Face model README

BioLinkBERT-LitCovid-v1.2

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

Loss: 0.0950
F1 micro: 0.9201
F1 macro: 0.8831
F1 weighted: 0.9202
F1 samples: 0.9200
Precision micro: 0.9141
Precision macro: 0.8790
Precision weighted: 0.9144
Precision samples: 0.9283
Recall micro: 0.9263
Recall macro: 0.8877
Recall weighted: 0.9263
Recall samples: 0.9372
Roc Auc: 0.9529
Accuracy: 0.7848

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	F1 micro	F1 macro	F1 weighted	F1 samples	Precision micro	Precision macro	Precision weighted	Precision samples	Recall micro	Recall macro	Recall weighted	Recall samples	Roc Auc	Accuracy
0.1013	1.0	2211	0.0899	0.9159	0.8789	0.9164	0.9149	0.9074	0.8824	0.9092	0.9213	0.9245	0.8808	0.9245	0.9355	0.9511	0.7729
0.0749	2.0	4422	0.0847	0.9205	0.8854	0.9205	0.9203	0.9138	0.8843	0.9144	0.9264	0.9274	0.8882	0.9274	0.9390	0.9534	0.7857
0.0583	3.0	6633	0.0871	0.9212	0.8851	0.9212	0.9206	0.9145	0.8913	0.9151	0.9269	0.9280	0.8808	0.9280	0.9390	0.9537	0.7883
0.0433	4.0	8844	0.0924	0.9201	0.8849	0.9203	0.9202	0.9094	0.8766	0.9099	0.9246	0.9312	0.8947	0.9312	0.9416	0.9546	0.7834
0.0315	5.0	11055	0.0950	0.9201	0.8831	0.9202	0.9200	0.9141	0.8790	0.9144	0.9283	0.9263	0.8877	0.9263	0.9372	0.9529	0.7848

Framework versions

Transformers 4.28.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Aug 7, 2023
Updated: Aug 7, 2023