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	10.5612	0.0036	10.5591	3.2495
No log	2.0	4	8.0664	0.0	8.0648	2.8399
No log	3.0	6	5.8885	0.0394	5.8873	2.4264
No log	4.0	8	4.6504	0.0160	4.6491	2.1562
No log	5.0	10	3.5246	0.0	3.5236	1.8771
No log	6.0	12	2.8994	0.0	2.8985	1.7025
No log	7.0	14	2.3069	0.1129	2.3060	1.5186
No log	8.0	16	1.9158	0.0329	1.9150	1.3839
No log	9.0	18	1.5766	0.0202	1.5759	1.2554
No log	10.0	20	1.2570	0.0202	1.2564	1.1209
No log	11.0	22	1.1098	0.0202	1.1092	1.0532
No log	12.0	24	1.1784	0.0202	1.1778	1.0853
No log	13.0	26	1.2413	0.0782	1.2407	1.1139
No log	14.0	28	1.0385	0.1458	1.0381	1.0189
No log	15.0	30	0.9100	0.2442	0.9097	0.9538
No log	16.0	32	0.8263	0.3965	0.8261	0.9089
No log	17.0	34	0.7625	0.4170	0.7624	0.8732
No log	18.0	36	0.8502	0.3751	0.8501	0.9220
No log	19.0	38	0.7215	0.4379	0.7215	0.8494
No log	20.0	40	0.6838	0.4458	0.6839	0.8270
No log	21.0	42	0.6428	0.4533	0.6429	0.8018
No log	22.0	44	0.6637	0.4745	0.6638	0.8148
No log	23.0	46	0.6743	0.4659	0.6745	0.8213
No log	24.0	48	0.6347	0.4767	0.6349	0.7968
No log	25.0	50	0.5802	0.5278	0.5804	0.7619
No log	26.0	52	0.6716	0.5303	0.6717	0.8195
No log	27.0	54	0.6021	0.5479	0.6023	0.7761
No log	28.0	56	0.7887	0.5045	0.7887	0.8881
No log	29.0	58	0.7604	0.4986	0.7604	0.8720
No log	30.0	60	0.6919	0.5446	0.6920	0.8318
No log	31.0	62	0.8909	0.4570	0.8907	0.9438
No log	32.0	64	0.6666	0.5255	0.6667	0.8165
No log	33.0	66	0.6880	0.5184	0.6881	0.8295
No log	34.0	68	0.9143	0.4515	0.9140	0.9561
No log	35.0	70	0.7059	0.5312	0.7058	0.8401
No log	36.0	72	0.7300	0.5279	0.7299	0.8543
No log	37.0	74	0.9841	0.4371	0.9837	0.9918

genki10/ASAP_FineTuningBERT_AugV7_k2_task1_organization_k2_k2_fold3

ASAP_FineTuningBERT_AugV7_k2_task1_organization_k2_k2_fold3