EXP_1_BINARY-dmis-lab-biobert-v1.1

irebil/EXP_1_BINARY-dmis-lab-biobert-v1.1

EXP_1_BINARY-dmis-lab-biobert-v1.1 is a token classification model from irebil. Use it when you need labels on individual words, such as names. It is set up for transformers.

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

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At a glance

Task: Token Classification
Library: transformers
Model type: bert
Access: Public
Created: Dec 10, 2025
Updated: Dec 10, 2025
SHA: 8936acc1

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Model card

From the Hugging Face model README

EXP_1_BINARY-dmis-lab-biobert-v1.1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1974
Precision: 0.8943
Recall: 0.9235
F1: 0.9087
Accuracy: 0.9229

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Accuracy	F1	Validation Loss	Precision	Recall
0.2125	1.0	220	0.9204	0.9069	0.2056	0.8818	0.9335
0.2011	2.0	440	0.9223	0.9088	0.2003	0.8858	0.9331
0.1929	3.0	660	0.1974	0.8943	0.9235	0.9087	0.9229

Framework versions

Transformers 4.57.1
Pytorch 2.9.1+cu130
Datasets 4.4.1
Tokenizers 0.22.1

Task: Token Classification
Library: transformers
Type: bert
Created: Dec 10, 2025
Updated: Dec 10, 2025