learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use 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: 150

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	5	8.3865	0.0	8.3851	2.8957
No log	2.0	10	5.7742	0.0332	5.7728	2.4027
No log	3.0	15	2.7150	0.0284	2.7144	1.6475
No log	4.0	20	1.4676	0.0202	1.4671	1.2112
No log	5.0	25	1.1110	0.0202	1.1107	1.0539
No log	6.0	30	1.0628	0.0337	1.0625	1.0308
No log	7.0	35	0.8694	0.2960	0.8694	0.9324
No log	8.0	40	0.6841	0.4285	0.6847	0.8275
No log	9.0	45	0.6140	0.4726	0.6146	0.7840
No log	10.0	50	0.8713	0.3033	0.8718	0.9337
No log	11.0	55	0.9813	0.2849	0.9817	0.9908
No log	12.0	60	0.6350	0.5112	0.6358	0.7973
No log	13.0	65	0.7384	0.5023	0.7392	0.8598
No log	14.0	70	1.1284	0.3220	1.1288	1.0624
No log	15.0	75	1.5687	0.2702	1.5688	1.2525
No log	16.0	80	1.0837	0.3736	1.0842	1.0412
No log	17.0	85	1.2800	0.2962	1.2801	1.1314
No log	18.0	90	1.2369	0.3149	1.2373	1.1124
No log	19.0	95	1.6289	0.2143	1.6290	1.2763
No log	20.0	100	1.2985	0.2575	1.2984	1.1395
No log	21.0	105	0.9414	0.3754	0.9415	0.9703
No log	22.0	110	0.9051	0.3793	0.9054	0.9515
No log	23.0	115	0.8619	0.3954	0.8620	0.9285
No log	24.0	120	1.1682	0.2726	1.1681	1.0808
No log	25.0	125	1.3080	0.1987	1.3080	1.1437
No log	26.0	130	1.2152	0.2594	1.2153	1.1024
No log	27.0	135	0.9402	0.3622	0.9403	0.9697

genki10/BERT_AugV8_k7_task1_organization_sp020_lw010_fold3

BERT_AugV8_k7_task1_organization_sp020_lw010_fold3