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	9.1512	0.0018	9.1512	3.0251
No log	2.0	8	5.4836	0.0444	5.4836	2.3417
No log	3.0	12	2.9584	0.0118	2.9584	1.7200
No log	4.0	16	1.5845	0.0445	1.5845	1.2588
No log	5.0	20	1.0553	0.0420	1.0553	1.0273
No log	6.0	24	1.5129	0.0342	1.5129	1.2300
No log	7.0	28	0.9238	0.0809	0.9238	0.9611
No log	8.0	32	1.0810	0.1426	1.0810	1.0397
No log	9.0	36	1.5196	0.2050	1.5196	1.2327
No log	10.0	40	0.9072	0.2371	0.9072	0.9525
No log	11.0	44	0.8024	0.4533	0.8024	0.8958
No log	12.0	48	0.6978	0.4127	0.6978	0.8353
No log	13.0	52	0.6533	0.4979	0.6533	0.8083
No log	14.0	56	0.5802	0.5037	0.5802	0.7617
No log	15.0	60	0.6725	0.5358	0.6725	0.8201
No log	16.0	64	0.6115	0.5456	0.6115	0.7820
No log	17.0	68	0.6413	0.5655	0.6413	0.8008
No log	18.0	72	0.7044	0.5561	0.7044	0.8393
No log	19.0	76	0.7050	0.5657	0.7050	0.8396
No log	20.0	80	0.7654	0.5599	0.7654	0.8749
No log	21.0	84	1.3086	0.3697	1.3086	1.1439
No log	22.0	88	0.8007	0.5136	0.8007	0.8948
No log	23.0	92	2.6553	0.1465	2.6553	1.6295
No log	24.0	96	0.6583	0.5278	0.6583	0.8114
No log	25.0	100	0.7613	0.5154	0.7613	0.8726
No log	26.0	104	0.8989	0.4838	0.8989	0.9481
No log	27.0	108	1.4490	0.3387	1.4490	1.2037
No log	28.0	112	0.6986	0.5598	0.6986	0.8358
No log	29.0	116	0.9816	0.4262	0.9816	0.9907
No log	30.0	120	0.6020	0.5624	0.6020	0.7759
No log	31.0	124	1.1014	0.3666	1.1014	1.0495
No log	32.0	128	0.6093	0.5277	0.6093	0.7806
No log	33.0	132	0.9285	0.4291	0.9285	0.9636
No log	34.0	136	0.6324	0.5277	0.6324	0.7952

genki10/BERT_AugV8_k5_task1_organization_sp040_lw030_fold4

BERT_AugV8_k5_task1_organization_sp040_lw030_fold4