learning_rate: 1e-06
train_batch_size: 16
eval_batch_size: 16
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: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.8175	1.0	13	1.0490	0.0534	0.1014	1.0	0.0534	0.5
0.7624	2.0	26	1.0185	0.0534	0.1014	1.0	0.0534	0.5
0.8583	3.0	39	0.9908	0.0534	0.1014	1.0	0.0534	0.5
0.7144	4.0	52	0.9653	0.0534	0.1014	1.0	0.0534	0.5
0.718	5.0	65	0.9438	0.0534	0.1014	1.0	0.0534	0.5
0.7514	6.0	78	0.9251	0.0534	0.1014	1.0	0.0534	0.5
0.6915	7.0	91	0.9108	0.0534	0.1014	1.0	0.0534	0.5
0.7727	8.0	104	0.8979	0.0534	0.1014	1.0	0.0534	0.5
0.7329	9.0	117	0.8895	0.0534	0.1014	1.0	0.0534	0.5
0.7947	10.0	130	0.8810	0.0534	0.1014	1.0	0.0534	0.5
0.7162	11.0	143	0.8744	0.0534	0.1014	1.0	0.0534	0.5
0.679	12.0	156	0.8699	0.0534	0.1014	1.0	0.0534	0.5
0.7156	13.0	169	0.8664	0.0534	0.1014	1.0	0.0534	0.5
0.7271	14.0	182	0.8633	0.0534	0.1014	1.0	0.0534	0.5
0.7828	15.0	195	0.8624	0.0534	0.1014	1.0	0.0534	0.5

AnonymousCS/populism_classifier_bsample_195

populism_classifier_bsample_195