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
0.4007	1.0	122	0.6496	0.9406	0.0	0.0	0.0	0.5
0.4705	2.0	244	0.7770	0.1291	0.1127	0.9310	0.06	0.5047
0.9942	3.0	366	1.1307	0.9406	0.0	0.0	0.0	0.5
0.4023	4.0	488	0.6234	0.9406	0.0	0.0	0.0	0.5
0.729	5.0	610	0.6717	0.9406	0.0	0.0	0.0	0.5
0.4101	6.0	732	0.6214	0.9406	0.0	0.0	0.0	0.5
0.5957	7.0	854	0.6215	0.9406	0.0	0.0	0.0	0.5
0.8498	8.0	976	0.6333	0.9406	0.0	0.0	0.0	0.5
0.5553	9.0	1098	0.6267	0.9406	0.0	0.0	0.0	0.5
0.4796	10.0	1220	0.6599	0.9406	0.0	0.0	0.0	0.5
0.6643	11.0	1342	0.6213	0.9406	0.0	0.0	0.0	0.5
0.5396	12.0	1464	0.6218	0.9406	0.0	0.0	0.0	0.5
0.5217	13.0	1586	0.6359	0.9406	0.0	0.0	0.0	0.5
0.5086	14.0	1708	0.6403	0.9406	0.0	0.0	0.0	0.5
0.6382	15.0	1830	0.6269	0.9406	0.0	0.0	0.0	0.5
0.7726	16.0	1952	0.6349	0.9406	0.0	0.0	0.0	0.5

AnonymousCS/populism_classifier_414

populism_classifier_414