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
num_epochs: 8
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0597	0.1961	10	0.6693	0.7527
0.5333	0.3922	20	0.4162	0.8187
0.3855	0.5882	30	0.2527	0.9176
0.2547	0.7843	40	0.2264	0.9341
0.1848	0.9804	50	0.2274	0.9231
0.1865	1.1765	60	0.1852	0.9451
0.1104	1.3725	70	0.1674	0.9615
0.0857	1.5686	80	0.1744	0.9505
0.123	1.7647	90	0.1966	0.9451
0.1361	1.9608	100	0.1715	0.9451
0.0433	2.1569	110	0.1485	0.9670
0.0244	2.3529	120	0.1727	0.9615
0.0542	2.5490	130	0.2046	0.9560
0.0673	2.7451	140	0.3079	0.9396
0.0993	2.9412	150	0.2305	0.9560
0.0052	3.1373	160	0.2376	0.9560
0.0678	3.3333	170	0.2565	0.9615
0.0095	3.5294	180	0.2565	0.9560
0.0233	3.7255	190	0.2555	0.9615

elidle/indobert-post-training-fin-sa-exp-2

indobert-post-training-fin-sa-4