BioBert_pubHealth

adity12345/BioBert_pubHealth

BioBert_pubHealth is a text classification model from adity12345. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Jul 8, 2025
Updated: Jul 8, 2025
SHA: cf00b531

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Base models

dmis-lab/biobert-base-cased-v1.2

Model card

From the Hugging Face model README

BioBert_pubHealth

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6765
Accuracy: 0.796
Auc: 0.886
Precision: 0.861
Recall: 0.793
F1: 0.825
F1-macro: 0.791
F1-micro: 0.796
F1-weighted: 0.798

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Auc	Precision	Recall	F1	F1-macro	F1-micro	F1-weighted
0.5286	0.3960	100	0.4608	0.769	0.855	0.847	0.756	0.799	0.764	0.769	0.771
0.4399	0.7921	200	0.4506	0.787	0.871	0.861	0.775	0.815	0.782	0.787	0.789
0.3929	1.1861	300	0.4363	0.791	0.878	0.829	0.826	0.828	0.781	0.791	0.791
0.368	1.5822	400	0.4003	0.797	0.884	0.881	0.77	0.822	0.794	0.797	0.8
0.3503	1.9782	500	0.4075	0.794	0.888	0.847	0.806	0.826	0.787	0.794	0.795
0.2828	2.3723	600	0.4678	0.798	0.888	0.898	0.753	0.819	0.796	0.798	0.801
0.2647	2.7683	700	0.4296	0.796	0.89	0.893	0.755	0.818	0.793	0.796	0.799
0.2197	3.1624	800	0.5130	0.798	0.889	0.862	0.795	0.827	0.793	0.798	0.8
0.1739	3.5584	900	0.5262	0.8	0.891	0.842	0.826	0.834	0.792	0.8	0.801
0.1517	3.9545	1000	0.6064	0.793	0.889	0.875	0.77	0.819	0.789	0.793	0.795
0.1189	4.3485	1100	0.6257	0.793	0.887	0.848	0.803	0.825	0.786	0.793	0.795
0.0976	4.7446	1200	0.6765	0.796	0.886	0.861	0.793	0.825	0.791	0.796	0.798

Framework versions

Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2

Task: Text Classification
Library: transformers
Type: bert
Created: Jul 8, 2025
Updated: Jul 8, 2025