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: 100

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	1	10.8356	0.0107	10.8326	3.2913
No log	2.0	2	9.8889	0.0	9.8862	3.1442
No log	3.0	3	9.5753	0.0	9.5727	3.0940
No log	4.0	4	9.3202	0.0	9.3176	3.0525
No log	5.0	5	8.9598	0.0	8.9572	2.9929
No log	6.0	6	8.2747	0.0	8.2721	2.8761
No log	7.0	7	7.1083	0.0	7.1059	2.6657
No log	8.0	8	6.5414	0.0	6.5391	2.5572
No log	9.0	9	6.1764	0.0	6.1742	2.4848
No log	10.0	10	5.4976	0.0156	5.4954	2.3442
No log	11.0	11	4.8183	0.0	4.8161	2.1946
No log	12.0	12	4.3142	0.0	4.3122	2.0766
No log	13.0	13	3.9337	0.0	3.9317	1.9829
No log	14.0	14	3.5556	0.0	3.5536	1.8851
No log	15.0	15	3.2375	0.0	3.2355	1.7987
No log	16.0	16	2.9700	0.0	2.9681	1.7228
No log	17.0	17	2.7130	0.0	2.7112	1.6466
No log	18.0	18	2.4255	-0.0005	2.4238	1.5568
No log	19.0	19	2.1688	0.0737	2.1671	1.4721
No log	20.0	20	1.9652	0.0482	1.9635	1.4013
No log	21.0	21	1.7923	0.0418	1.7907	1.3382
No log	22.0	22	1.6500	0.0211	1.6484	1.2839
No log	23.0	23	1.5387	0.0106	1.5371	1.2398
No log	24.0	24	1.4322	0.0	1.4307	1.1961
No log	25.0	25	1.2886	0.0211	1.2872	1.1345
No log	26.0	26	1.1949	0.0211	1.1935	1.0925
No log	27.0	27	1.1128	0.0418	1.1114	1.0542
No log	28.0	28	1.0350	0.0521	1.0337	1.0167
No log	29.0	29	0.9828	0.0583	0.9815	0.9907

genki10/ASAP_FineTuningBERT_UnAugV7_k1_task1_organization_k1_k1_fold1

ASAP_FineTuningBERT_UnAugV7_k1_task1_organization_k1_k1_fold1