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	2.3493	0.2433	0.3585	0.2208
No log	2.0	232	1.9408	0.4267	0.4271	0.3717
No log	3.0	348	1.6372	0.4733	0.4433	0.4383
No log	4.0	464	1.5114	0.59	0.5677	0.5507
1.7294	5.0	580	1.4359	0.6	0.5738	0.5761
1.7294	6.0	696	1.4476	0.6133	0.5913	0.5806
1.7294	7.0	812	1.4863	0.6133	0.5784	0.5823
1.7294	8.0	928	1.5494	0.63	0.5924	0.5903
0.3290	9.0	1044	1.6099	0.61	0.5733	0.5776
0.3290	10.0	1160	1.6845	0.6167	0.5809	0.5817
0.3290	11.0	1276	1.7364	0.6233	0.5811	0.5848
0.3290	12.0	1392	1.7437	0.61	0.5758	0.5770

KingTechnician/bert-base-uncased_LOGIC_Native

bert-base-uncased_LOGIC_Native