BioLinkBERT-LitCovid-v1.1 – AI Model by sofia-todeschini | AlphaNeural AI

You can deploy this model and start earning money today!

sofia-todeschini/
BioLinkBERT-LitCovid-v1.1

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

BioLinkBERT-LitCovid-v1.1

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: 0.1070
F1: 0.9009
Roc Auc: 0.9439
Accuracy: 0.7915

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	Roc Auc	Accuracy
0.119	1.0	1560	0.1121	0.8949	0.9366	0.7857
0.0994	2.0	3120	0.1050	0.8999	0.9335	0.7934
0.0745	3.0	4680	0.1070	0.9009	0.9439	0.7915
0.0584	4.0	6240	0.1132	0.8986	0.9367	0.7900
0.0445	5.0	7800	0.1183	0.8993	0.9385	0.7886

Framework versions

Transformers 4.28.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3