You can deploy this model and start earning money today!

chintagunta85/
biobert-base-cased-v1.2-bc2gm-ner

Name: biobert-base-cased-v1.2-bc2gm-ner
Availability: InStock

generated_from_trainer

Views

No views yet

biobert-base-cased-v1.2-bc2gm-ner

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the bc2gm_corpus dataset. It achieves the following results on the evaluation set:

Loss: 0.1528
Precision: 0.7988
Recall: 0.8243
F1: 0.8114
Accuracy: 0.9772

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.057	1.0	782	0.0670	0.7446	0.8051	0.7736	0.9738
0.0586	2.0	1564	0.0689	0.7689	0.8106	0.7892	0.9755
0.0123	3.0	2346	0.0715	0.7846	0.8076	0.7959	0.9750
0.0002	4.0	3128	0.0896	0.7942	0.8199	0.8068	0.9767
0.0004	5.0	3910	0.1119	0.7971	0.8201	0.8084	0.9765
0.0004	6.0	4692	0.1192	0.7966	0.8337	0.8147	0.9768
0.013	7.0	5474	0.1274	0.7932	0.8266	0.8095	0.9773
0.0236	8.0	6256	0.1419	0.7976	0.8213	0.8093	0.9771
0.0004	9.0	7038	0.1519	0.8004	0.8261	0.8130	0.9772
0.0	10.0	7820	0.1528	0.7988	0.8243	0.8114	0.9772

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

chintagunta85/biobert-base-cased-v1.2-bc2gm-ner

biobert-base-cased-v1.2-bc2gm-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

chintagunta85/
biobert-base-cased-v1.2-bc2gm-ner