learning_rate: 3.4878669814902115e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
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: 50

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Macro Offensive	F1 Weighted Offensive
0.5772	1.0	3310	0.5389	0.7209	0.4189	0.6040
0.5395	2.0	6620	0.3936	0.7209	0.4189	0.6040
0.5166	3.0	9930	0.3618	0.7209	0.4189	0.6040
0.5239	4.0	13240	0.3458	0.7209	0.4189	0.6040
0.5089	5.0	16550	0.3572	0.8558	0.8083	0.8505
0.4533	6.0	19860	0.4132	0.8395	0.7917	0.8358
0.4105	7.0	23170	0.4063	0.8477	0.8119	0.8482
0.4051	8.0	26480	0.5048	0.8372	0.7987	0.8376
0.3582	9.0	29790	0.5884	0.8279	0.7888	0.8290
0.3707	10.0	33100	0.7322	0.8407	0.7987	0.8393
0.348	11.0	36410	0.8778	0.8395	0.7985	0.8387

iTroned/test_offensive_best_metrics

test_offensive_best_metrics