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	6.8708	0.0005	6.8696	2.6210
No log	2.0	14	2.3705	0.1332	2.3697	1.5394
No log	3.0	21	1.1566	0.0365	1.1561	1.0752
No log	4.0	28	1.0220	0.0569	1.0215	1.0107
No log	5.0	35	0.9526	0.1963	0.9523	0.9759
No log	6.0	42	0.7823	0.3941	0.7825	0.8846
No log	7.0	49	0.7407	0.4357	0.7411	0.8609
No log	8.0	56	0.5589	0.4396	0.5592	0.7478
No log	9.0	63	0.5384	0.5167	0.5389	0.7341
No log	10.0	70	0.5595	0.5287	0.5598	0.7482
No log	11.0	77	0.7869	0.4539	0.7871	0.8872
No log	12.0	84	0.9322	0.3927	0.9325	0.9657
No log	13.0	91	1.2772	0.3005	1.2773	1.1302
No log	14.0	98	1.6713	0.2065	1.6713	1.2928
No log	15.0	105	0.6084	0.5026	0.6088	0.7803
No log	16.0	112	0.5915	0.4739	0.5918	0.7693
No log	17.0	119	0.6689	0.5044	0.6694	0.8181
No log	18.0	126	0.7532	0.3904	0.7536	0.8681
No log	19.0	133	0.6666	0.4293	0.6668	0.8166
No log	20.0	140	0.6132	0.4797	0.6135	0.7833
No log	21.0	147	0.7467	0.4291	0.7470	0.8643
No log	22.0	154	0.7612	0.4176	0.7613	0.8725
No log	23.0	161	0.8558	0.3765	0.8560	0.9252
No log	24.0	168	1.1939	0.2904	1.1939	1.0927
No log	25.0	175	0.9940	0.3588	0.9940	0.9970

genki10/Trial3BERT_AugV8_k10_task1_organization_sp020_lw030_fold3

Trial3BERT_AugV8_k10_task1_organization_sp020_lw030_fold3