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: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Precision Macro	Recall Macro	Auc
No log	1.0	79	0.6736	0.7261	0.7028	0.7210	0.6981	0.7428
No log	2.0	158	0.8024	0.7006	0.6975	0.6995	0.7070	0.7566
No log	3.0	237	0.9896	0.7389	0.7226	0.7307	0.7189	0.7613
No log	4.0	316	1.3463	0.7229	0.7032	0.7145	0.6992	0.7444
No log	5.0	395	1.4706	0.7357	0.7246	0.7256	0.7238	0.7536
No log	6.0	474	1.6432	0.7420	0.7264	0.7339	0.7228	0.7518
0.176	7.0	553	1.7216	0.7229	0.6963	0.7200	0.6916	0.7626
0.176	8.0	632	1.7837	0.7357	0.7078	0.7383	0.7023	0.7596
0.176	9.0	711	1.7627	0.7325	0.7129	0.7256	0.7085	0.7611
0.176	10.0	790	1.7560	0.7357	0.7188	0.7275	0.7149	0.7610

JoshuaAAX/bert-base-uncased-binary-classification

bert-ia-checkpoint