learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Macro F1	Accuracy	F1 Cwe-119	F1 Cwe-125	F1 Cwe-190	F1 Cwe-20	F1 Cwe-22	F1 Cwe-269	F1 Cwe-276	F1 Cwe-287	F1 Cwe-306	F1 Cwe-352	F1 Cwe-362	F1 Cwe-416	F1 Cwe-434	F1 Cwe-476	F1 Cwe-502	F1 Cwe-78	F1 Cwe-787	F1 Cwe-79	F1 Cwe-798	F1 Cwe-862	F1 Cwe-863	F1 Cwe-89	F1 Cwe-918	F1 Cwe-94
0.5894	1.0	4533	0.4616	0.8301	0.9306	0.8332	0.9354	0.9229	0.786	0.9725	0.6819	0.7456	0.8021	0.6949	0.9938	0.9167	0.9219	0.945	0.9428	0.9243	0.882	0.8481	0.9921	0.953	0.8953	0.5187	0.9964	0.963	0.6851
0.4632	2.0	9066	0.4053	0.8472	0.9402	0.864	0.9458	0.9438	0.8361	0.9752	0.7002	0.8017	0.8285	0.7254	0.9947	0.9019	0.9307	0.9488	0.9463	0.946	0.9014	0.886	0.9941	0.9533	0.8976	0.5628	0.9964	0.9631	0.7372
0.3786	3.0	13599	0.4013	0.8501	0.9421	0.8587	0.9503	0.9399	0.8371	0.9738	0.6992	0.7857	0.8383	0.7506	0.9959	0.9023	0.9349	0.9558	0.946	0.9335	0.9127	0.8824	0.9949	0.9508	0.9078	0.6037	0.9975	0.9616	0.7404

martynattakit/vuln-classifier-roberta

vuln-classifier-roberta