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	5.3960	0.0635	5.3947	2.3226
No log	2.0	16	2.0361	0.1063	2.0353	1.4266
No log	3.0	24	1.8738	0.0981	1.8732	1.3687
No log	4.0	32	1.4714	0.0365	1.4709	1.2128
No log	5.0	40	0.8985	0.3006	0.8981	0.9477
No log	6.0	48	0.7726	0.2668	0.7724	0.8789
No log	7.0	56	0.7581	0.3439	0.7588	0.8711
No log	8.0	64	0.8361	0.3852	0.8373	0.9151
No log	9.0	72	1.0330	0.3719	1.0345	1.0171
No log	10.0	80	0.7581	0.5072	0.7596	0.8715
No log	11.0	88	0.7319	0.5000	0.7331	0.8562
No log	12.0	96	0.7999	0.4703	0.8012	0.8951
No log	13.0	104	0.8078	0.4369	0.8088	0.8993
No log	14.0	112	1.0814	0.3630	1.0828	1.0406
No log	15.0	120	1.7029	0.2480	1.7045	1.3055
No log	16.0	128	1.1133	0.3544	1.1147	1.0558
No log	17.0	136	0.8795	0.4107	0.8806	0.9384
No log	18.0	144	1.1246	0.3264	1.1258	1.0611
No log	19.0	152	0.9434	0.3922	0.9445	0.9718
No log	20.0	160	1.0355	0.3531	1.0367	1.0182
No log	21.0	168	0.9617	0.4007	0.9629	0.9813
No log	22.0	176	0.9330	0.4071	0.9341	0.9665
No log	23.0	184	0.7695	0.4702	0.7704	0.8777
No log	24.0	192	0.8168	0.4305	0.8176	0.9042
No log	25.0	200	0.9870	0.3808	0.9878	0.9939
No log	26.0	208	0.9060	0.3894	0.9067	0.9522
No log	27.0	216	1.1133	0.3271	1.1142	1.0556
No log	28.0	224	0.9059	0.3372	0.9067	0.9522
No log	29.0	232	1.1027	0.3365	1.1036	1.0505
No log	30.0	240	1.0608	0.3381	1.0618	1.0304

genki10/Version2ASAP_FineTuningBERT_AugV6_k10_task1_organization_k10_k10_fold3

Version2ASAP_FineTuningBERT_AugV6_k10_task1_organization_k10_k10_fold3