learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
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: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Offensive	Accuracy Targeted	F1 Targeted	Accuracy Stance	F1 Stance
0.7648	1.0	1490	0.7296	0.6843	0.5840	0.6850	0.5584	0.7409	0.6307
0.7579	2.0	2980	0.7111	0.6911	0.6159	0.6896	0.5831	0.7409	0.6307
0.7373	3.0	4470	0.7080	0.6964	0.6378	0.6926	0.6175	0.7424	0.6342
0.7227	4.0	5960	0.6967	0.7085	0.6473	0.6949	0.6285	0.7432	0.6360
0.7321	5.0	7450	0.6913	0.7069	0.6283	0.6949	0.6130	0.7409	0.6323
0.7186	6.0	8940	0.6907	0.7153	0.6537	0.6956	0.6336	0.7409	0.6401
0.7121	7.0	10430	0.6884	0.7107	0.6504	0.6949	0.6357	0.7402	0.6377
0.7113	8.0	11920	0.6956	0.7039	0.6395	0.6918	0.6314	0.7402	0.6417
0.7016	9.0	13410	0.6819	0.7054	0.6325	0.7039	0.6405	0.7447	0.6500
0.707	10.0	14900	0.6888	0.7092	0.6433	0.7024	0.6428	0.7409	0.6465

iTroned/classic_test_modernbert_model

classic_test_modernbert_model