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commanderstrife/
bc2gm_corpus-Bio_ClinicalBERT-finetuned-ner

Name: bc2gm_corpus-Bio_ClinicalBERT-finetuned-ner
Availability: InStock

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bc2gm_corpus-Bio_ClinicalBERT-finetuned-ner

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the bc2gm_corpus dataset. It achieves the following results on the evaluation set:

Loss: 0.1505
Precision: 0.7854
Recall: 0.8158
F1: 0.8003
Accuracy: 0.9759

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
0.0981	1.0	782	0.0712	0.7228	0.7948	0.7571	0.9724
0.0509	2.0	1564	0.0687	0.7472	0.8199	0.7818	0.9746
0.0121	3.0	2346	0.0740	0.7725	0.8011	0.7866	0.9747
0.0001	4.0	3128	0.1009	0.7618	0.8251	0.7922	0.9741
0.0042	5.0	3910	0.1106	0.7757	0.8185	0.7965	0.9754
0.0015	6.0	4692	0.1182	0.7812	0.8111	0.7958	0.9758
0.0001	7.0	5474	0.1283	0.7693	0.8275	0.7973	0.9753
0.0072	8.0	6256	0.1376	0.7863	0.8158	0.8008	0.9762
0.0045	9.0	7038	0.1468	0.7856	0.8180	0.8015	0.9761
0.0	10.0	7820	0.1505	0.7854	0.8158	0.8003	0.9759

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

commanderstrife/bc2gm_corpus-Bio_ClinicalBERT-finetuned-ner

bc2gm_corpus-Bio_ClinicalBERT-finetuned-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

commanderstrife/
bc2gm_corpus-Bio_ClinicalBERT-finetuned-ner