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
0.6097	1.0	6331	1.2958	0.7344	0.5150	0.6890	0.5150	0.6890
0.4683	2.0	12662	1.9451	0.7475	0.5273	0.7048	0.5273	0.7048
0.3589	3.0	18993	2.2074	0.7508	0.5280	0.7062	0.5280	0.7062
0.2829	4.0	25324	2.0548	0.7574	0.5323	0.7123	0.5323	0.7123
0.1274	5.0	31655	2.4437	0.7377	0.6521	0.7342	0.6521	0.7342
0.1736	6.0	37986	3.2666	0.7410	0.6230	0.7309	0.6230	0.7309
0.1233	7.0	44317	3.3592	0.7508	0.6229	0.7400	0.6229	0.7400
0.0885	8.0	50648	3.8765	0.7279	0.5884	0.7119	0.5884	0.7119
0.0534	9.0	56979	4.4513	0.7311	0.5825	0.7102	0.5825	0.7102
0.0613	10.0	63310	4.6906	0.7443	0.5708	0.7146	0.5708	0.7146

iTroned/self_iterative_v1_stance_iteration_2

self_iterative_v1_stance_iteration_2