learning_rate: 6e-06
train_batch_size: 4
eval_batch_size: 4
seed: 1337
optimizer: Use OptimizerNames.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: 30

Training Loss	Epoch	Step	Validation Loss	Accuracy Stance	F1 Macro Stance	F1 Weighted Stance	F1 Macro Total	F1 Weighted Total
1.0596	1.0	969	0.9935	0.6295	0.4269	0.5763	0.4269	0.5763
0.9378	2.0	1938	0.8779	0.7475	0.5250	0.7031	0.5250	0.7031
0.822	3.0	2907	0.8357	0.7705	0.5423	0.7255	0.5423	0.7255
0.8097	4.0	3876	0.9689	0.7639	0.5370	0.7190	0.5370	0.7190
0.7524	5.0	4845	0.8577	0.7574	0.5348	0.7153	0.5348	0.7153
0.7564	6.0	5814	0.9584	0.7607	0.5358	0.7172	0.5358	0.7172
0.6758	7.0	6783	1.1422	0.7738	0.5444	0.7292	0.5444	0.7292
0.6905	8.0	7752	0.9824	0.7082	0.5356	0.6868	0.5356	0.6868
0.6453	9.0	8721	1.3034	0.6984	0.5753	0.7015	0.5753	0.7015
0.5966	10.0	9690	1.9121	0.7344	0.5709	0.7124	0.5709	0.7124
0.5132	11.0	10659	1.6164	0.7148	0.6327	0.7247	0.6327	0.7247
0.4706	12.0	11628	1.7751	0.6721	0.5781	0.6899	0.5781	0.6899
0.4043	13.0	12597	2.1297	0.7082	0.5704	0.7062	0.5704	0.7062
0.3956	14.0	13566	2.3073	0.6984	0.5880	0.7029	0.5880	0.7029
0.3256	15.0	14535	2.3529	0.6885	0.5728	0.6966	0.5728	0.6966
0.3829	16.0	15504	2.4452	0.6557	0.5744	0.6840	0.5744	0.6840

iTroned/self_iterative_v1_stance_iteration_0

self_iterative_v1_stance_iteration_0