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	0.6751	0.5955	0.3733	0.2978	0.5	0.6194
No log	2.0	158	0.6642	0.5955	0.3733	0.2978	0.5	0.6210
No log	3.0	237	0.5609	0.7102	0.6895	0.7003	0.6859	0.7701
No log	4.0	316	0.5676	0.7070	0.6907	0.6954	0.6883	0.7734
No log	5.0	395	0.6983	0.7580	0.7453	0.7498	0.7425	0.7941
No log	6.0	474	0.7766	0.7420	0.7319	0.7322	0.7316	0.7802
0.4887	7.0	553	1.1879	0.7452	0.7266	0.7399	0.7217	0.7761
0.4887	8.0	632	1.6676	0.7484	0.7242	0.7504	0.7180	0.7789
0.4887	9.0	711	1.6440	0.7548	0.7364	0.7511	0.7310	0.7889
0.4887	10.0	790	1.7092	0.7548	0.7364	0.7511	0.7310	0.7928

JoshuaAAX/roberta-large-binary-classification

roberta-large-binary-classification