stbl_clinical_bert_ft – AI Model by ericntay | AlphaNeural AI

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ericntay/
stbl_clinical_bert_ft

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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stbl_clinical_bert_ft

This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1789
F1: 0.8523

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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.2786	1.0	95	0.1083	0.8090
0.0654	2.0	190	0.1005	0.8475
0.0299	3.0	285	0.1207	0.8481
0.0146	4.0	380	0.1432	0.8454
0.0088	5.0	475	0.1362	0.8475
0.0056	6.0	570	0.1527	0.8518
0.0037	7.0	665	0.1617	0.8519
0.0022	8.0	760	0.1726	0.8495
0.0018	9.0	855	0.1743	0.8527
0.0014	10.0	950	0.1750	0.8463
0.0014	11.0	1045	0.1775	0.8522
0.001	12.0	1140	0.1789	0.8523

Framework versions

Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1