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	5.7884	0.0290	5.7867	2.4055
No log	2.0	14	2.8003	0.0	2.7987	1.6729
No log	3.0	21	1.5349	0.0630	1.5334	1.2383
No log	4.0	28	1.1946	0.0276	1.1930	1.0922
No log	5.0	35	1.1585	0.1270	1.1567	1.0755
No log	6.0	42	0.7104	0.4013	0.7091	0.8421
No log	7.0	49	0.7944	0.2602	0.7931	0.8906
No log	8.0	56	1.2339	0.1676	1.2319	1.1099
No log	9.0	63	0.8138	0.3359	0.8120	0.9011
No log	10.0	70	0.9493	0.3051	0.9471	0.9732
No log	11.0	77	1.2144	0.2157	1.2119	1.1009
No log	12.0	84	1.1150	0.2966	1.1121	1.0546
No log	13.0	91	1.2472	0.2193	1.2445	1.1156
No log	14.0	98	1.3006	0.2083	1.2977	1.1392
No log	15.0	105	1.0760	0.1904	1.0734	1.0361
No log	16.0	112	1.0152	0.2181	1.0125	1.0062
No log	17.0	119	1.0386	0.2159	1.0361	1.0179
No log	18.0	126	1.1311	0.1864	1.1283	1.0622
No log	19.0	133	1.1127	0.2150	1.1103	1.0537
No log	20.0	140	1.3939	0.2253	1.3912	1.1795
No log	21.0	147	1.0416	0.2841	1.0393	1.0195

genki10/BERT_AugV8_k10_task1_organization_sp040_lw030_fold1

BERT_AugV8_k10_task1_organization_sp040_lw030_fold1