learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
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
lr_scheduler_warmup_steps: 500
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.6575	1.0	111	1.5425	0.2977	0.4401	0.2546	0.2055
1.3195	2.0	222	0.9592	0.6659	0.6667	0.6679	0.6596
0.8309	3.0	333	0.6948	0.7614	0.7602	0.7677	0.7618
0.6519	4.0	444	0.7061	0.7523	0.7491	0.7687	0.7534
0.5121	5.0	555	0.7076	0.7682	0.7633	0.7817	0.7658
0.3865	6.0	666	0.7490	0.7523	0.7483	0.7657	0.7526
0.2813	7.0	777	0.8366	0.7568	0.7584	0.7681	0.7588

Alfanatasya/results_indobert-large-p1_preprocessing_without_stopword

results_indobert-large-p1_preprocessing_without_stopword