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	5	7.8594	0.0018	7.8594	2.8035
No log	2.0	10	3.8782	0.0040	3.8782	1.9693
No log	3.0	15	2.0026	0.0682	2.0026	1.4151
No log	4.0	20	1.3337	0.0212	1.3337	1.1548
No log	5.0	25	0.9668	0.0107	0.9668	0.9833
No log	6.0	30	1.1676	0.0107	1.1676	1.0805
No log	7.0	35	0.8036	0.3518	0.8036	0.8964
No log	8.0	40	1.5302	0.1515	1.5302	1.2370
No log	9.0	45	0.7684	0.3451	0.7684	0.8766
No log	10.0	50	0.7307	0.3843	0.7307	0.8548
No log	11.0	55	0.6860	0.3653	0.6860	0.8283
No log	12.0	60	0.6594	0.4273	0.6594	0.8120
No log	13.0	65	0.7913	0.4170	0.7913	0.8895
No log	14.0	70	1.0393	0.3676	1.0393	1.0195
No log	15.0	75	0.9484	0.3671	0.9484	0.9739
No log	16.0	80	0.9654	0.3602	0.9654	0.9826
No log	17.0	85	0.8207	0.4339	0.8207	0.9060
No log	18.0	90	0.9754	0.3922	0.9754	0.9876
No log	19.0	95	1.3753	0.2407	1.3753	1.1727
No log	20.0	100	1.0588	0.3132	1.0588	1.0290
No log	21.0	105	1.1623	0.3098	1.1623	1.0781
No log	22.0	110	1.8203	0.1917	1.8203	1.3492
No log	23.0	115	1.3874	0.2465	1.3874	1.1779
No log	24.0	120	0.9806	0.3540	0.9806	0.9902
No log	25.0	125	0.8551	0.4147	0.8551	0.9247
No log	26.0	130	0.8182	0.4175	0.8182	0.9045
No log	27.0	135	0.9080	0.3999	0.9080	0.9529
No log	28.0	140	0.8003	0.3870	0.8003	0.8946
No log	29.0	145	1.4280	0.2786	1.4280	1.1950
No log	30.0	150	1.4429	0.2350	1.4429	1.2012
No log	31.0	155	0.9787	0.3165	0.9787	0.9893
No log	32.0	160	0.8870	0.3591	0.8870	0.9418

genki10/BERT_AugV8_k7_task1_organization_sp020_lw040_fold4

BERT_AugV8_k7_task1_organization_sp020_lw040_fold4