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	8	5.8446	0.0186	5.8446	2.4176
No log	2.0	16	2.5307	0.0343	2.5307	1.5908
No log	3.0	24	1.6373	0.0447	1.6373	1.2796
No log	4.0	32	1.6785	0.1396	1.6785	1.2956
No log	5.0	40	1.2725	0.1664	1.2725	1.1281
No log	6.0	48	1.0388	0.2850	1.0388	1.0192
No log	7.0	56	0.7110	0.3561	0.7110	0.8432
No log	8.0	64	1.3017	0.3239	1.3017	1.1409
No log	9.0	72	0.7226	0.4342	0.7226	0.8501
No log	10.0	80	0.8666	0.4051	0.8666	0.9309
No log	11.0	88	0.8505	0.4151	0.8505	0.9222
No log	12.0	96	0.9976	0.3677	0.9976	0.9988
No log	13.0	104	0.8460	0.4038	0.8460	0.9198
No log	14.0	112	0.8118	0.4330	0.8118	0.9010
No log	15.0	120	0.8135	0.4567	0.8135	0.9019
No log	16.0	128	0.6866	0.4736	0.6866	0.8286
No log	17.0	136	0.8976	0.3904	0.8976	0.9474
No log	18.0	144	0.8830	0.4020	0.8830	0.9397
No log	19.0	152	0.8958	0.4125	0.8958	0.9465
No log	20.0	160	0.8410	0.4136	0.8410	0.9171
No log	21.0	168	0.7959	0.4726	0.7959	0.8921
No log	22.0	176	0.8893	0.4139	0.8893	0.9431
No log	23.0	184	0.7921	0.4143	0.7921	0.8900
No log	24.0	192	0.8858	0.3938	0.8858	0.9412
No log	25.0	200	0.7847	0.4355	0.7847	0.8859
No log	26.0	208	0.7781	0.4280	0.7781	0.8821
No log	27.0	216	0.8776	0.3831	0.8776	0.9368
No log	28.0	224	0.7839	0.4124	0.7839	0.8854
No log	29.0	232	0.7705	0.3920	0.7705	0.8778
No log	30.0	240	0.7389	0.4233	0.7389	0.8596
No log	31.0	248	0.7387	0.4402	0.7387	0.8595
No log	32.0	256	0.7753	0.4116	0.7753	0.8805
No log	33.0	264	0.8489	0.3642	0.8489	0.9214
No log	34.0	272	0.7547	0.4420	0.7547	0.8687
No log	35.0	280	0.6986	0.4359	0.6986	0.8358
No log	36.0	288	0.6951	0.4501	0.6951	0.8338

genki10/ASAP_FineTuningBERT_AugV11_k10_task1_organization_k10_k10_fold0

ASAP_FineTuningBERT_AugV11_k10_task1_organization_k10_k10_fold0