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: 50

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.2914	1.0	659	0.2262	0.7256	0.8200	0.5943
0.2012	2.0	1318	0.2007	0.7624	0.8427	0.6465
0.1543	3.0	1977	0.2230	0.7629	0.8422	0.6889
0.0761	4.0	2636	0.2460	0.7781	0.8668	0.7018
0.0508	5.0	3295	0.2869	0.7688	0.8609	0.6946
0.0463	6.0	3954	0.2881	0.7758	0.8585	0.7118
0.0244	7.0	4613	0.3081	0.7784	0.8600	0.7160
0.018	8.0	5272	0.3489	0.7799	0.8754	0.7052
0.0184	9.0	5931	0.3453	0.7830	0.8688	0.7174
0.014	10.0	6590	0.3531	0.7748	0.8732	0.6898
0.011	11.0	7249	0.3941	0.7718	0.8508	0.7166
0.012	12.0	7908	0.3781	0.7849	0.8680	0.7225
0.0081	13.0	8567	0.4381	0.7695	0.8775	0.6889
0.0077	14.0	9226	0.4100	0.7860	0.8751	0.7225
0.0079	15.0	9885	0.4354	0.7779	0.8641	0.7122
0.0083	16.0	10544	0.4287	0.7823	0.8730	0.7166
0.0072	17.0	11203	0.4874	0.7623	0.8697	0.6883
0.0073	18.0	11862	0.4516	0.7803	0.8789	0.7077
0.0104	19.0	12521	0.4467	0.7737	0.8636	0.7058

PaceKW/indobert-base-p1-multilabel-indonesian-hate-speech-new-50

indobert-base-p1-multilabel-indonesian-hate-speech-new-50