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	6.5070	0.0	6.5055	2.5506
No log	2.0	16	5.3232	0.0	5.3218	2.3069
No log	3.0	24	2.8507	0.0	2.8498	1.6881
No log	4.0	32	2.0983	0.1302	2.0976	1.4483
No log	5.0	40	2.3472	0.1573	2.3464	1.5318
No log	6.0	48	1.3457	0.0202	1.3450	1.1597
No log	7.0	56	2.5030	0.1060	2.5022	1.5818
No log	8.0	64	1.5021	0.0514	1.5014	1.2253
No log	9.0	72	1.3131	0.1053	1.3123	1.1456
No log	10.0	80	0.9060	0.3196	0.9055	0.9516
No log	11.0	88	1.7291	0.1854	1.7284	1.3147
No log	12.0	96	1.2895	0.2596	1.2892	1.1354
No log	13.0	104	2.8547	0.0827	2.8543	1.6895
No log	14.0	112	0.9549	0.4575	0.9553	0.9774
No log	15.0	120	1.2661	0.3355	1.2666	1.1254
No log	16.0	128	1.5336	0.2933	1.5337	1.2384
No log	17.0	136	1.2558	0.3173	1.2562	1.1208
No log	18.0	144	2.2441	0.1539	2.2445	1.4981
No log	19.0	152	1.0728	0.3944	1.0732	1.0360
No log	20.0	160	2.1196	0.1826	2.1197	1.4559
No log	21.0	168	2.3969	0.1415	2.3974	1.5483
No log	22.0	176	1.0103	0.3802	1.0107	1.0054
No log	23.0	184	1.9427	0.1909	1.9429	1.3939
No log	24.0	192	1.7719	0.1948	1.7722	1.3313
No log	25.0	200	1.6983	0.2550	1.6986	1.3033
No log	26.0	208	0.9470	0.3762	0.9473	0.9733
No log	27.0	216	0.8839	0.4374	0.8840	0.9402
No log	28.0	224	1.0920	0.3482	1.0920	1.0450
No log	29.0	232	1.6792	0.2185	1.6794	1.2959
No log	30.0	240	1.2437	0.3768	1.2443	1.1155
No log	31.0	248	1.9996	0.1987	1.9998	1.4141
No log	32.0	256	1.7661	0.2485	1.7666	1.3291
No log	33.0	264	1.3161	0.2960	1.3164	1.1473
No log	34.0	272	1.7273	0.2480	1.7277	1.3144

genki10/Version2ASAP_FineTuningBERT_AugV5_k10_task1_organization_k10_k10_fold3

Version2ASAP_FineTuningBERT_AugV5_k10_task1_organization_k10_k10_fold3