learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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_with_restarts
lr_scheduler_warmup_steps: 200
num_epochs: 5
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0340	0.1863	500	0.0140	0.9722	0.9818	0.9770	0.9960
0.0238	0.3726	1000	0.0104	0.9820	0.9888	0.9854	0.9970
0.0138	0.5589	1500	0.0077	0.9852	0.9919	0.9885	0.9977
0.0126	0.7452	2000	0.0063	0.9873	0.9910	0.9891	0.9980
0.0143	0.9314	2500	0.0049	0.9914	0.9954	0.9934	0.9986
0.0058	1.1177	3000	0.0042	0.9920	0.9959	0.9939	0.9988
0.0073	1.3040	3500	0.0064	0.9891	0.9933	0.9912	0.9981
0.0081	1.4903	4000	0.0068	0.9891	0.9917	0.9904	0.9981
0.0058	1.6766	4500	0.0037	0.9932	0.9965	0.9949	0.9989
0.0075	1.8629	5000	0.0040	0.9918	0.9957	0.9938	0.9988
0.0030	2.0492	5500	0.0033	0.9935	0.9952	0.9944	0.9990
0.0033	2.2355	6000	0.0041	0.9926	0.9954	0.9940	0.9988

jefftherover/pii-layout-synth-v12

pii-layout-synth-v12