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	4	7.8739	0.0	7.8722	2.8057
No log	2.0	8	4.6191	0.0124	4.6181	2.1490
No log	3.0	12	2.7879	0.0	2.7871	1.6695
No log	4.0	16	1.8562	0.0329	1.8555	1.3622
No log	5.0	20	1.1629	0.0202	1.1623	1.0781
No log	6.0	24	1.2071	0.0202	1.2065	1.0984
No log	7.0	28	1.2677	0.0266	1.2671	1.1257
No log	8.0	32	0.8607	0.2775	0.8605	0.9276
No log	9.0	36	1.0831	0.2395	1.0830	1.0407
No log	10.0	40	0.7105	0.3918	0.7106	0.8430
No log	11.0	44	0.7350	0.3675	0.7351	0.8574
No log	12.0	48	0.6818	0.4018	0.6821	0.8259
No log	13.0	52	0.8315	0.4082	0.8316	0.9119
No log	14.0	56	0.6852	0.4365	0.6853	0.8278
No log	15.0	60	1.5577	0.2717	1.5577	1.2481
No log	16.0	64	0.7312	0.4598	0.7313	0.8551
No log	17.0	68	1.4674	0.2626	1.4672	1.2113
No log	18.0	72	0.7328	0.4557	0.7328	0.8560
No log	19.0	76	1.0592	0.3065	1.0591	1.0291
No log	20.0	80	0.8916	0.3729	0.8915	0.9442
No log	21.0	84	0.8265	0.4484	0.8264	0.9091
No log	22.0	88	1.6263	0.2533	1.6262	1.2752
No log	23.0	92	0.8220	0.4381	0.8220	0.9067
No log	24.0	96	1.2254	0.2950	1.2253	1.1069
No log	25.0	100	0.9209	0.3702	0.9209	0.9597
No log	26.0	104	1.0787	0.3309	1.0787	1.0386
No log	27.0	108	0.9180	0.3762	0.9180	0.9581
No log	28.0	112	0.9435	0.4039	0.9436	0.9714
No log	29.0	116	1.0740	0.3133	1.0740	1.0363
No log	30.0	120	1.0645	0.2978	1.0644	1.0317
No log	31.0	124	0.8466	0.4124	0.8465	0.9201

genki10/BERT_AugV8_k5_task1_organization_sp020_lw040_fold3

BERT_AugV8_k5_task1_organization_sp020_lw040_fold3