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: 150

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	7	6.0841	0.0090	6.0844	2.4667
No log	2.0	14	2.4652	0.0406	2.4657	1.5702
No log	3.0	21	1.1956	0.0107	1.1960	1.0936
No log	4.0	28	1.4072	0.0	1.4076	1.1864
No log	5.0	35	0.9909	0.0109	0.9913	0.9957
No log	6.0	42	0.6289	0.2884	0.6291	0.7931
No log	7.0	49	0.6362	0.2464	0.6364	0.7977
No log	8.0	56	0.5247	0.4298	0.5247	0.7243
No log	9.0	63	0.6170	0.3973	0.6171	0.7855
No log	10.0	70	1.2249	0.1302	1.2251	1.1068
No log	11.0	77	0.8943	0.2464	0.8942	0.9456
No log	12.0	84	0.6319	0.3814	0.6318	0.7949
No log	13.0	91	0.5962	0.4848	0.5961	0.7721
No log	14.0	98	0.6137	0.4523	0.6135	0.7833
No log	15.0	105	0.7572	0.2887	0.7571	0.8701
No log	16.0	112	1.0420	0.1203	1.0418	1.0207
No log	17.0	119	1.1249	0.2597	1.1244	1.0604
No log	18.0	126	0.8996	0.2246	0.8993	0.9483
No log	19.0	133	1.1376	0.2155	1.1372	1.0664
No log	20.0	140	1.4415	-0.0004	1.4412	1.2005
No log	21.0	147	0.9781	0.1889	0.9777	0.9888
No log	22.0	154	1.0731	0.1413	1.0728	1.0358
No log	23.0	161	0.9918	0.0930	0.9916	0.9958
No log	24.0	168	0.9336	0.2314	0.9333	0.9661
No log	25.0	175	0.8091	0.3311	0.8086	0.8992
No log	26.0	182	0.9607	0.2207	0.9602	0.9799
No log	27.0	189	0.8277	0.2391	0.8273	0.9096
No log	28.0	196	0.8334	0.2273	0.8331	0.9127

genki10/BERT_AugV8_k10_task1_organization_sp020_lw030_fold2

BERT_AugV8_k10_task1_organization_sp020_lw030_fold2