You can deploy this model and start earning money today!

ViktorDo/
BioBERT-finetuned-ner-conll2003

Name: BioBERT-finetuned-ner-conll2003
Availability: InStock

generated_from_trainer

Views

No views yet

BioBERT-finetuned-ner-conll2003

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.1057
Precision: 0.8879
Recall: 0.9039
F1: 0.8958
Accuracy: 0.9764

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.133	1.0	1756	0.1027	0.8459	0.8672	0.8564	0.9699
0.0585	2.0	3512	0.0992	0.8785	0.8995	0.8889	0.9749
0.0299	3.0	5268	0.1057	0.8879	0.9039	0.8958	0.9764

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

ViktorDo/BioBERT-finetuned-ner-conll2003

BioBERT-finetuned-ner-conll2003

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ViktorDo/
BioBERT-finetuned-ner-conll2003