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	7	8.0594	0.0	8.0596	2.8389
No log	2.0	14	3.9838	0.0	3.9843	1.9961
No log	3.0	21	1.1848	0.0136	1.1852	1.0887
No log	4.0	28	0.7816	0.0722	0.7820	0.8843
No log	5.0	35	0.6836	0.3903	0.6833	0.8266
No log	6.0	42	0.8223	0.4181	0.8220	0.9067
No log	7.0	49	0.8227	0.4138	0.8223	0.9068
No log	8.0	56	0.6720	0.4639	0.6716	0.8195
No log	9.0	63	0.5482	0.4873	0.5478	0.7401
No log	10.0	70	0.5591	0.4763	0.5588	0.7475
No log	11.0	77	0.5851	0.5692	0.5844	0.7645
No log	12.0	84	0.5870	0.5493	0.5865	0.7658
No log	13.0	91	0.5608	0.5239	0.5605	0.7487
No log	14.0	98	0.6766	0.4396	0.6765	0.8225
No log	15.0	105	0.6369	0.4989	0.6365	0.7978
No log	16.0	112	0.5817	0.5366	0.5813	0.7625
No log	17.0	119	0.6255	0.5434	0.6251	0.7906
No log	18.0	126	0.5574	0.4682	0.5572	0.7465
No log	19.0	133	0.6152	0.5616	0.6147	0.7840
No log	20.0	140	0.6013	0.5393	0.6008	0.7751
No log	21.0	147	0.6114	0.4959	0.6110	0.7817
No log	22.0	154	0.6022	0.5050	0.6018	0.7758
No log	23.0	161	0.5930	0.5120	0.5927	0.7699
No log	24.0	168	0.6346	0.5008	0.6344	0.7965
No log	25.0	175	0.6205	0.4891	0.6202	0.7876
No log	26.0	182	0.6189	0.4763	0.6186	0.7865
No log	27.0	189	0.6065	0.5037	0.6063	0.7786
No log	28.0	196	0.6293	0.5216	0.6290	0.7931
No log	29.0	203	0.6291	0.5165	0.6286	0.7928
No log	30.0	210	0.6742	0.5221	0.6736	0.8207
No log	31.0	217	0.7123	0.4237	0.7119	0.8437

genki10/Version_Test_ASAP_FineTuningBERT_AugV14_k10_task1_organization_k10_k10_fold2

Version_Test_ASAP_FineTuningBERT_AugV14_k10_task1_organization_k10_k10_fold2