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
0.6419	1.0	3310	0.5316	0.4541	0.3123	0.2836	0.3123	0.2836
0.5788	2.0	6620	0.4558	0.4541	0.3123	0.2836	0.3123	0.2836
0.5412	3.0	9930	0.5259	0.7930	0.7926	0.7934	0.7926	0.7934
0.5219	4.0	13240	0.6390	0.7963	0.7958	0.7968	0.7958	0.7968
0.6636	5.0	16550	0.8807	0.7679	0.7679	0.7677	0.7679	0.7677
0.5711	6.0	19860	1.0412	0.7963	0.7943	0.7962	0.7943	0.7962
0.5821	7.0	23170	1.1767	0.8047	0.8016	0.8039	0.8016	0.8039
0.5055	8.0	26480	1.1641	0.7846	0.7842	0.7851	0.7842	0.7851
0.3845	9.0	29790	1.5011	0.7796	0.7785	0.7800	0.7785	0.7800
0.2602	10.0	33100	1.6457	0.7746	0.7744	0.7751	0.7744	0.7751
0.1953	11.0	36410	1.8146	0.7529	0.7527	0.7534	0.7527	0.7534
0.2261	12.0	39720	1.8209	0.7796	0.7785	0.7800	0.7785	0.7800

iTroned/offensive_baseline_v2

offensive_baseline_v2