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	8	6.9708	0.0	6.9708	2.6402
No log	2.0	16	3.0270	0.0040	3.0270	1.7398
No log	3.0	24	1.3267	0.0420	1.3267	1.1518
No log	4.0	32	1.2221	0.0547	1.2221	1.1055
No log	5.0	40	1.4101	0.1517	1.4101	1.1875
No log	6.0	48	0.8317	0.3697	0.8317	0.9120
No log	7.0	56	0.9872	0.3432	0.9872	0.9936
No log	8.0	64	0.6500	0.5299	0.6500	0.8062
No log	9.0	72	0.8763	0.4363	0.8763	0.9361
No log	10.0	80	0.8425	0.4655	0.8425	0.9179
No log	11.0	88	0.6535	0.4784	0.6535	0.8084
No log	12.0	96	0.7846	0.5016	0.7846	0.8858
No log	13.0	104	0.7637	0.4542	0.7637	0.8739
No log	14.0	112	0.7336	0.4348	0.7336	0.8565
No log	15.0	120	0.8353	0.4661	0.8353	0.9139
No log	16.0	128	0.7463	0.4438	0.7463	0.8639
No log	17.0	136	0.7955	0.4875	0.7955	0.8919
No log	18.0	144	0.7960	0.4737	0.7960	0.8922
No log	19.0	152	1.0149	0.4416	1.0149	1.0074
No log	20.0	160	0.6609	0.5028	0.6609	0.8129
No log	21.0	168	0.7029	0.4884	0.7029	0.8384
No log	22.0	176	0.7538	0.4415	0.7538	0.8682
No log	23.0	184	0.7244	0.4717	0.7244	0.8511
No log	24.0	192	0.6971	0.5138	0.6971	0.8349
No log	25.0	200	0.6610	0.5225	0.6610	0.8130
No log	26.0	208	0.6948	0.5092	0.6948	0.8336
No log	27.0	216	0.7063	0.5264	0.7063	0.8404
No log	28.0	224	0.7983	0.4511	0.7983	0.8935

genki10/Version2ASAP_FineTuningBERT_AugV6_k10_task1_organization_k10_k10_fold4

Version2ASAP_FineTuningBERT_AugV6_k10_task1_organization_k10_k10_fold4