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	7.3852	0.0	7.3855	2.7176
No log	2.0	14	2.4566	0.0786	2.4572	1.5675
No log	3.0	21	1.0637	0.0213	1.0640	1.0315
No log	4.0	28	1.0696	0.0648	1.0698	1.0343
No log	5.0	35	0.7596	0.3666	0.7597	0.8716
No log	6.0	42	0.5676	0.4824	0.5675	0.7534
No log	7.0	49	0.5742	0.3632	0.5743	0.7578
No log	8.0	56	0.4666	0.5574	0.4663	0.6828
No log	9.0	63	0.4872	0.6331	0.4866	0.6976
No log	10.0	70	0.8479	0.4735	0.8475	0.9206
No log	11.0	77	0.9307	0.4603	0.9304	0.9646
No log	12.0	84	1.3214	0.3695	1.3208	1.1493
No log	13.0	91	0.7389	0.4889	0.7383	0.8593
No log	14.0	98	0.9832	0.4044	0.9828	0.9914
No log	15.0	105	1.0053	0.3763	1.0048	1.0024
No log	16.0	112	1.2497	0.2725	1.2490	1.1176
No log	17.0	119	0.5607	0.5312	0.5601	0.7484
No log	18.0	126	0.5760	0.4897	0.5754	0.7586
No log	19.0	133	0.7652	0.4221	0.7647	0.8745
No log	20.0	140	0.7493	0.4382	0.7488	0.8653
No log	21.0	147	0.9620	0.3495	0.9614	0.9805
No log	22.0	154	0.7278	0.4457	0.7273	0.8528
No log	23.0	161	0.5655	0.5459	0.5649	0.7516
No log	24.0	168	0.8896	0.3861	0.8891	0.9429

genki10/Trial3BERT_AugV8_k10_task1_organization_sp020_lw030_fold2

Trial3BERT_AugV8_k10_task1_organization_sp020_lw030_fold2