learning_rate: 3e-05
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
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.5269	1.0	333	0.8559	0.7152	0.2444	0.9654	0.1399	0.8340
0.075	2.0	666	0.4378	0.8218	0.3276	0.9098	0.1998	0.8636
0.3245	3.0	999	0.5634	0.8349	0.3514	0.9368	0.2162	0.8833
0.0832	4.0	1332	0.3395	0.8799	0.4085	0.8692	0.2670	0.8748
0.2264	5.0	1665	0.3105	0.9179	0.4654	0.7489	0.3376	0.8376
0.2779	6.0	1998	0.8355	0.7710	0.2866	0.9639	0.1683	0.8626
0.1703	7.0	2331	0.7838	0.8245	0.3408	0.9504	0.2076	0.8843

AnonymousCS/populism_classifier_bsample_079

populism_classifier_bsample_079