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neuralsentry/
vulnfixClassification-DistilBERT-DCMB

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vulnfixClassification-DistilBERT-DCMB

This model is a fine-tuned version of neuralsentry/distilbert-git-commits-mlm on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Roc Auc
0.2594	1.0	110	0.1452	0.9520	0.9672	0.9395	0.9532	0.9525
0.0966	2.0	220	0.1103	0.9644	0.9714	0.9599	0.9656	0.9646
0.0499	3.0	330	0.1193	0.9640	0.9679	0.9626	0.9653	0.9641
0.0251	4.0	440	0.1289	0.9623	0.9577	0.9703	0.9640	0.9619
0.0132	5.0	550	0.1495	0.9660	0.9660	0.9687	0.9673	0.9659
0.0086	6.0	660	0.1759	0.9684	0.9830	0.9558	0.9692	0.9689
0.0054	7.0	770	0.1568	0.9700	0.9788	0.9632	0.9709	0.9703
0.0023	8.0	880	0.1775	0.9707	0.9754	0.9681	0.9717	0.9708
0.0023	9.0	990	0.1752	0.9710	0.9794	0.9646	0.9719	0.9713
0.0011	10.0	1100	0.1769	0.9713	0.9778	0.9667	0.9722	0.9715