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	2	10.4004	0.0211	10.3973	3.2245
No log	2.0	4	6.6458	0.0	6.6435	2.5775
No log	3.0	6	6.0422	-0.0038	6.0400	2.4576
No log	4.0	8	5.1894	0.0059	5.1872	2.2776
No log	5.0	10	4.3966	0.0	4.3946	2.0963
No log	6.0	12	3.6993	0.0	3.6974	1.9229
No log	7.0	14	2.9916	0.0	2.9897	1.7291
No log	8.0	16	2.4977	0.0043	2.4960	1.5799
No log	9.0	18	1.9290	0.0548	1.9273	1.3883
No log	10.0	20	1.6402	0.0067	1.6388	1.2802
No log	11.0	22	1.3114	0.0379	1.3099	1.1445
No log	12.0	24	1.1623	0.0404	1.1609	1.0774
No log	13.0	26	1.2769	0.0530	1.2752	1.1292
No log	14.0	28	0.8507	0.1677	0.8495	0.9217
No log	15.0	30	1.1660	0.1537	1.1647	1.0792
No log	16.0	32	1.7831	0.1476	1.7815	1.3347
No log	17.0	34	0.9365	0.3076	0.9354	0.9672
No log	18.0	36	0.7827	0.3704	0.7816	0.8841
No log	19.0	38	1.2764	0.2088	1.2747	1.1290
No log	20.0	40	0.7348	0.3550	0.7338	0.8566
No log	21.0	42	0.7672	0.3617	0.7664	0.8754
No log	22.0	44	0.9925	0.3520	0.9916	0.9958
No log	23.0	46	0.6759	0.4111	0.6751	0.8216
No log	24.0	48	0.9757	0.3572	0.9744	0.9871
No log	25.0	50	0.8656	0.3472	0.8644	0.9297
No log	26.0	52	0.9470	0.3239	0.9458	0.9725
No log	27.0	54	1.7735	0.1532	1.7715	1.3310
No log	28.0	56	0.9584	0.3101	0.9572	0.9784
No log	29.0	58	1.0991	0.2524	1.0975	1.0476
No log	30.0	60	1.0327	0.2824	1.0312	1.0155
No log	31.0	62	0.8906	0.3638	0.8895	0.9431
No log	32.0	64	1.0616	0.3317	1.0604	1.0298
No log	33.0	66	0.9016	0.3950	0.9006	0.9490

genki10/ASAP_FineTuningBERT_AugV7_k2_task1_organization_k2_k2_fold1

ASAP_FineTuningBERT_AugV7_k2_task1_organization_k2_k2_fold1