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 Targeted	F1 Macro Targeted	F1 Weighted Targeted	F1 Macro Total	F1 Weighted Total
0.6053	1.0	1100	1.5857	0.6778	0.4040	0.5476	0.4040	0.5476
0.8807	2.0	2200	1.8541	0.6778	0.4040	0.5476	0.4040	0.5476
0.8164	3.0	3300	2.0546	0.6778	0.4040	0.5476	0.4040	0.5476
0.7704	4.0	4400	2.2383	0.6778	0.4040	0.5476	0.4040	0.5476
0.6485	5.0	5500	2.4671	0.7089	0.5271	0.6314	0.5271	0.6314
0.5596	6.0	6600	2.8895	0.7022	0.5141	0.6216	0.5141	0.6216
0.4156	7.0	7700	3.1013	0.6956	0.5141	0.6197	0.5141	0.6197
0.304	8.0	8800	3.5025	0.7	0.5127	0.6201	0.5127	0.6201
0.218	9.0	9900	3.2075	0.7156	0.5943	0.6732	0.5943	0.6732
0.2248	10.0	11000	3.6996	0.6911	0.5548	0.6424	0.5548	0.6424
0.1415	11.0	12100	3.9597	0.7111	0.5409	0.6403	0.5409	0.6403
0.1429	12.0	13200	3.9556	0.7044	0.5475	0.6423	0.5475	0.6423
0.1082	13.0	14300	4.1190	0.7	0.5548	0.6452	0.5548	0.6452
0.0876	14.0	15400	3.7472	0.6889	0.5957	0.6647	0.5957	0.6647
0.0884	15.0	16500	4.1420	0.7133	0.6132	0.6831	0.6132	0.6831
0.0673	16.0	17600	4.6090	0.7089	0.5971	0.6726	0.5971	0.6726
0.0364	17.0	18700	5.7458	0.6978	0.5155	0.6212	0.5155	0.6212
0.077	18.0	19800	5.2002	0.6978	0.5690	0.6527	0.5690	0.6527
0.0451	19.0	20900	5.5998	0.7	0.5548	0.6452	0.5548	0.6452
0.0194	20.0	22000	6.0451	0.7044	0.5511	0.6444	0.5511	0.6444

iTroned/self_iterative_v1_targeted_iteration_0

self_iterative_v1_targeted_iteration_0