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	3	8.6785	0.0	8.6788	2.9460
No log	2.0	6	6.8737	0.0	6.8740	2.6218
No log	3.0	9	5.0801	0.0078	5.0804	2.2540
No log	4.0	12	3.9200	0.0	3.9203	1.9800
No log	5.0	15	2.8307	0.0	2.8311	1.6826
No log	6.0	18	1.9856	0.0602	1.9861	1.4093
No log	7.0	21	1.5234	0.0	1.5239	1.2344
No log	8.0	24	1.1651	0.0213	1.1655	1.0796
No log	9.0	27	1.0113	0.0307	1.0117	1.0058
No log	10.0	30	1.3382	0.1659	1.3384	1.1569
No log	11.0	33	1.2452	0.1787	1.2454	1.1160
No log	12.0	36	0.8784	0.3189	0.8785	0.9373
No log	13.0	39	1.0548	0.2465	1.0551	1.0272
No log	14.0	42	0.7151	0.4884	0.7152	0.8457
No log	15.0	45	0.7301	0.4322	0.7302	0.8545
No log	16.0	48	0.6142	0.4663	0.6144	0.7839
No log	17.0	51	0.8091	0.3388	0.8092	0.8996
No log	18.0	54	0.5252	0.4537	0.5253	0.7248
No log	19.0	57	0.8494	0.3908	0.8495	0.9217
No log	20.0	60	0.5767	0.5267	0.5764	0.7592
No log	21.0	63	1.4377	0.3231	1.4378	1.1991
No log	22.0	66	0.8961	0.4429	0.8962	0.9467
No log	23.0	69	0.6487	0.5327	0.6487	0.8054
No log	24.0	72	0.9837	0.3551	0.9838	0.9919
No log	25.0	75	0.7917	0.4169	0.7918	0.8898
No log	26.0	78	0.8616	0.3872	0.8616	0.9282
No log	27.0	81	0.8201	0.4228	0.8201	0.9056
No log	28.0	84	1.1372	0.2932	1.1373	1.0665
No log	29.0	87	0.9008	0.3354	0.9011	0.9492
No log	30.0	90	0.9835	0.3395	0.9836	0.9918
No log	31.0	93	0.6946	0.4707	0.6946	0.8335
No log	32.0	96	1.1598	0.3382	1.1599	1.0770
No log	33.0	99	0.6466	0.4833	0.6466	0.8041
No log	34.0	102	0.9587	0.4082	0.9587	0.9791
No log	35.0	105	0.6785	0.4395	0.6786	0.8238
No log	36.0	108	1.2218	0.2790	1.2221	1.1055
No log	37.0	111	0.6625	0.4340	0.6627	0.8140
No log	38.0	114	0.9379	0.3742	0.9380	0.9685

genki10/Trial2BERT_AugV8_k3_task1_organization_sp010_lw050_fold2

Trial2BERT_AugV8_k3_task1_organization_sp010_lw050_fold2