learning_rate: 1e-05
train_batch_size: 16
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: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.5911	1.0	91	0.7011	0.1515	0.1720	1.0	0.0941	0.5347
0.6288	2.0	182	0.8307	0.0882	0.1620	1.0	0.0882	0.5
0.5907	3.0	273	0.6749	0.2011	0.1808	1.0	0.0994	0.5619
0.675	4.0	364	0.7471	0.0909	0.1624	1.0	0.0884	0.5015
0.8407	5.0	455	0.9201	0.0882	0.1620	1.0	0.0882	0.5
0.625	6.0	546	0.6675	0.8375	0.1449	0.1562	0.1351	0.5298
0.383	7.0	637	0.6634	0.6860	0.1972	0.4375	0.1273	0.5737
1.0487	8.0	728	0.6541	0.7879	0.2524	0.4062	0.1831	0.6155
0.655	9.0	819	0.8689	0.8485	0.0678	0.0625	0.0741	0.4935
0.7175	10.0	910	0.6738	0.8981	0.0	0.0	0.0	0.4924
0.4837	11.0	1001	0.7142	0.9091	0.0	0.0	0.0	0.4985
0.257	12.0	1092	0.8252	0.9091	0.0	0.0	0.0	0.4985
0.7864	13.0	1183	0.7307	0.9091	0.0	0.0	0.0	0.4985

AnonymousCS/populism_classifier_411

populism_classifier_411