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 Offensive	F1 Macro Offensive	F1 Weighted Offensive	F1 Macro Total	F1 Weighted Total
0.3084	1.0	15355	0.9076	0.8157	0.8026	0.8169	0.8026	0.8169
0.2535	2.0	30710	1.1712	0.8261	0.8086	0.8249	0.8086	0.8249
0.2178	3.0	46065	1.2638	0.8189	0.8023	0.8184	0.8023	0.8184
0.1227	4.0	61420	1.4496	0.8165	0.8006	0.8165	0.8006	0.8165
0.0759	5.0	76775	1.9696	0.8189	0.8011	0.8179	0.8011	0.8179
0.0605	6.0	92130	2.0360	0.8062	0.7914	0.8071	0.7914	0.8071
0.0366	7.0	107485	2.1232	0.8165	0.8026	0.8174	0.8026	0.8174

iTroned/self_iterative_v1_offensive_iteration_4

self_iterative_v1_offensive_iteration_4