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	6.4833	0.0018	6.4833	2.5462
No log	2.0	14	2.1875	0.1214	2.1875	1.4790
No log	3.0	21	0.9443	0.0316	0.9443	0.9718
No log	4.0	28	0.8867	0.0630	0.8867	0.9416
No log	5.0	35	0.8311	0.2754	0.8311	0.9116
No log	6.0	42	0.9526	0.3559	0.9526	0.9760
No log	7.0	49	0.6795	0.3623	0.6795	0.8243
No log	8.0	56	0.5889	0.4364	0.5889	0.7674
No log	9.0	63	0.7690	0.3462	0.7690	0.8769
No log	10.0	70	0.6517	0.5746	0.6517	0.8073
No log	11.0	77	0.7143	0.5185	0.7143	0.8452
No log	12.0	84	0.9739	0.3483	0.9739	0.9868
No log	13.0	91	0.7674	0.5279	0.7674	0.8760
No log	14.0	98	0.9698	0.3190	0.9698	0.9848
No log	15.0	105	0.8612	0.4435	0.8612	0.9280
No log	16.0	112	0.7078	0.5161	0.7078	0.8413
No log	17.0	119	0.7562	0.4586	0.7562	0.8696
No log	18.0	126	0.7784	0.4359	0.7784	0.8823
No log	19.0	133	0.6444	0.5060	0.6444	0.8028
No log	20.0	140	0.6305	0.4946	0.6305	0.7940
No log	21.0	147	0.8828	0.4209	0.8828	0.9396
No log	22.0	154	1.3319	0.2756	1.3319	1.1541
No log	23.0	161	1.3557	0.2606	1.3557	1.1644
No log	24.0	168	0.9657	0.3746	0.9657	0.9827
No log	25.0	175	1.3136	0.3036	1.3136	1.1461

genki10/BERT_AugV8_k10_task1_organization_sp040_lw010_fold4

BERT_AugV8_k10_task1_organization_sp040_lw010_fold4