learning_rate: 3e-05
train_batch_size: 16
eval_batch_size: 16
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: 30

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1	F Beta Score
0.2392	1.0	94	0.4800	0.9938	0.8333	1.0	0.9091	0.8784
0.3171	2.0	188	0.3655	0.9938	0.8333	1.0	0.9091	0.8784
0.0001	3.0	282	0.4586	0.9938	0.8333	1.0	0.9091	0.8784
0.0007	4.0	376	0.2513	0.9938	0.8333	1.0	0.9091	0.8784
0.0006	5.0	470	0.1567	0.9938	0.8333	1.0	0.9091	0.8784
0.1807	6.0	564	0.1066	0.9938	0.8333	1.0	0.9091	0.8784
0.0005	7.0	658	0.1565	0.9938	0.8333	1.0	0.9091	0.8784
0.0004	8.0	752	0.2348	0.9938	0.8333	1.0	0.9091	0.8784
0.1686	9.0	846	0.0900	0.9938	0.8333	1.0	0.9091	0.8784
0.0006	10.0	940	0.1549	0.9938	0.8333	1.0	0.9091	0.8784
0.0005	11.0	1034	0.0527	0.9969	0.9167	1.0	0.9565	0.9408
0.0007	12.0	1128	0.0527	0.9969	0.9167	1.0	0.9565	0.9408
0.0	13.0	1222	0.2799	0.9938	0.8333	1.0	0.9091	0.8784
0.0001	14.0	1316	0.0285	0.9969	0.9167	1.0	0.9565	0.9408
0.0006	15.0	1410	0.1819	0.9969	0.9167	1.0	0.9565	0.9408
0.003	16.0	1504	0.0211	0.9969	1.0	0.9231	0.96	0.975
0.0004	17.0	1598	0.1106	0.9969	0.9167	1.0	0.9565	0.9408
0.0	18.0	1692	0.1115	0.9969	0.9167	1.0	0.9565	0.9408
0.0001	19.0	1786	0.1101	0.9969	0.9167	1.0	0.9565	0.9408

buelfhood/progpedia19_unixcoder_ep30_bs16_lr3e-05_l512_s42_ppn_loss

progpedia19_unixcoder_ep30_bs16_lr3e-05_l512_s42_ppn_loss