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: 100

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	5	6.5579	0.0	6.5555	2.5604
No log	2.0	10	5.9640	0.0	5.9618	2.4417
No log	3.0	15	5.2121	0.0	5.2100	2.2825
No log	4.0	20	3.6517	0.0	3.6498	1.9104
No log	5.0	25	2.3513	0.0302	2.3496	1.5328
No log	6.0	30	1.6428	0.0978	1.6413	1.2811
No log	7.0	35	1.0365	0.0834	1.0352	1.0175
No log	8.0	40	1.3660	0.1910	1.3644	1.1681
No log	9.0	45	1.0530	0.1531	1.0517	1.0255
No log	10.0	50	1.4225	0.1901	1.4210	1.1920
No log	11.0	55	1.5796	0.1567	1.5779	1.2561
No log	12.0	60	0.8217	0.3531	0.8204	0.9058
No log	13.0	65	3.6861	0.0044	3.6839	1.9193
No log	14.0	70	0.7478	0.3551	0.7467	0.8641
No log	15.0	75	2.6602	0.0241	2.6585	1.6305
No log	16.0	80	1.0381	0.2466	1.0366	1.0181
No log	17.0	85	1.3772	0.1129	1.3760	1.1730
No log	18.0	90	1.4551	0.1332	1.4542	1.2059
No log	19.0	95	1.4521	0.1580	1.4512	1.2047
No log	20.0	100	1.3325	0.2319	1.3321	1.1542
No log	21.0	105	1.2053	0.2862	1.2048	1.0976
No log	22.0	110	1.2048	0.2772	1.2043	1.0974
No log	23.0	115	1.3247	0.2348	1.3240	1.1507
No log	24.0	120	2.0434	0.0655	2.0420	1.4290
No log	25.0	125	1.8504	0.0840	1.8491	1.3598
No log	26.0	130	1.9692	0.1000	1.9680	1.4028
No log	27.0	135	1.1829	0.3001	1.1824	1.0874
No log	28.0	140	1.3527	0.2464	1.3521	1.1628
No log	29.0	145	1.6688	0.1502	1.6681	1.2915
No log	30.0	150	1.5983	0.1442	1.5975	1.2639
No log	31.0	155	1.5169	0.1422	1.5160	1.2313
No log	32.0	160	1.3163	0.2535	1.3155	1.1469
No log	33.0	165	1.6928	0.1489	1.6920	1.3008
No log	34.0	170	1.5191	0.2117	1.5183	1.2322

genki10/Version2ASAP_FineTuningBERT_AugV6_k3_task1_organization_k3_k3_fold1

Version2ASAP_FineTuningBERT_AugV6_k3_task1_organization_k3_k3_fold1