learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
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
num_epochs: 12

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro Precision	Macro F1
No log	1.0	116	2.2572	0.3633	0.3744	0.3280
No log	2.0	232	1.6881	0.4933	0.4444	0.4351
No log	3.0	348	1.5136	0.5767	0.5515	0.5475
No log	4.0	464	1.5064	0.6033	0.5808	0.5616
1.4911	5.0	580	1.5690	0.5967	0.5912	0.5609
1.4911	6.0	696	1.5927	0.6267	0.6002	0.5907
1.4911	7.0	812	1.6903	0.6267	0.5964	0.5876
1.4911	8.0	928	1.8527	0.6167	0.5924	0.5848
0.2082	9.0	1044	2.0450	0.6267	0.6208	0.5933
0.2082	10.0	1160	2.0799	0.63	0.5922	0.5852
0.2082	11.0	1276	2.1676	0.6333	0.6069	0.5889
0.2082	12.0	1392	2.1872	0.6367	0.6085	0.5927

KingTechnician/roberta-base_LOGIC_Native

roberta-base_LOGIC_Native