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: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 5

Training Loss	Epoch	Step	Validation Loss	F1 Micro	F1 Macro	Precision	Recall	F1 Business Confidential	F1 Clean	F1 Code Ip	F1 Credentials	F1 Pii Sensitive	F1 Prompt Injection
0.0362	0.2667	100	0.0165	0.9833	0.9699	0.9846	0.9820	0.9853	1.0	0.9882	0.9916	0.9837	0.8706
0.0082	0.5333	200	0.0085	0.9940	0.9952	0.9966	0.9913	0.9983	1.0	0.9970	0.9829	0.9928	1.0
0.0056	0.8	300	0.0046	0.9977	0.9980	0.9980	0.9973	0.9983	1.0	1.0	0.9972	0.9926	1.0
0.0017	1.0667	400	0.0051	0.9963	0.9969	0.9960	0.9967	0.9967	1.0	1.0	0.9958	0.9891	1.0
0.0010	1.3333	500	0.0062	0.9940	0.9872	0.9966	0.9913	1.0	1.0	1.0	0.9972	0.9927	0.9333
0.0027	1.6	600	0.0032	0.9970	0.9974	0.9973	0.9967	0.9951	1.0	1.0	0.9986	0.9908	1.0

tariqshinwari/draxion-shield-gate-v1

draxion-shield-gate-v1