learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.6724	1.0	29	0.6041	0.0	0.5	0.12
0.6216	2.0	58	0.5785	0.0	0.5	0.12
0.5853	3.0	87	0.5688	0.0081	0.5021	0.12
0.5778	4.0	116	0.5585	0.1240	0.5286	0.14
0.5443	5.0	145	0.5399	0.2358	0.5557	0.15
0.4872	6.0	174	0.5496	0.3667	0.5942	0.16
0.4641	7.0	203	0.5601	0.3801	0.5922	0.18
0.45	8.0	232	0.5493	0.3595	0.5927	0.2
0.4081	9.0	261	0.5552	0.4353	0.6152	0.21
0.3877	10.0	290	0.5468	0.4512	0.6210	0.21
0.3661	11.0	319	0.5692	0.4819	0.6364	0.21
0.336	12.0	348	0.5657	0.4960	0.6484	0.24
0.3116	13.0	377	0.5773	0.4949	0.6444	0.24
0.3004	14.0	406	0.5799	0.5159	0.6575	0.26
0.2778	15.0	435	0.5897	0.4973	0.6478	0.24
0.2807	16.0	464	0.5928	0.4976	0.6460	0.22
0.2715	17.0	493	0.5933	0.4951	0.6437	0.23
0.2692	18.0	522	0.5952	0.4905	0.6404	0.23

Kuongan/afro-xlmr-base-arq-noaug

afro-xlmr-base-arq-noaug