learning_rate: 2e-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: 15

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.2887	1.0	659	0.2198	0.7353	0.8261	0.6110
0.1999	2.0	1318	0.2044	0.7658	0.8579	0.6279
0.1523	3.0	1977	0.2244	0.7615	0.8427	0.6699
0.0755	4.0	2636	0.2394	0.7775	0.8535	0.7027
0.0537	5.0	3295	0.2601	0.7810	0.8641	0.7075
0.0411	6.0	3954	0.2834	0.7774	0.8609	0.6993
0.0219	7.0	4613	0.2974	0.7762	0.8478	0.7172
0.0142	8.0	5272	0.2976	0.7823	0.8684	0.7069
0.0124	9.0	5931	0.3070	0.7883	0.8656	0.7211
0.0081	10.0	6590	0.3132	0.7862	0.8671	0.7147
0.0073	11.0	7249	0.3271	0.7886	0.8632	0.7289
0.0052	12.0	7908	0.3254	0.7866	0.8645	0.7246
0.0044	13.0	8567	0.3316	0.7906	0.8656	0.7308
0.004	14.0	9226	0.3316	0.7921	0.8715	0.7221
0.0039	15.0	9885	0.3335	0.7926	0.8709	0.7253

PaceKW/indobert-base-p1-multilabel-indonesian-hate-speech-new

indobert-base-p1-multilabel-indonesian-hate-speech-new