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	4.5970	0.0156	4.5970	2.1441
No log	2.0	16	1.8493	0.0855	1.8493	1.3599
No log	3.0	24	1.1705	0.0522	1.1705	1.0819
No log	4.0	32	1.2139	0.0420	1.2139	1.1018
No log	5.0	40	1.2975	0.1208	1.2975	1.1391
No log	6.0	48	0.8990	0.2715	0.8990	0.9482
No log	7.0	56	0.8731	0.2253	0.8731	0.9344
No log	8.0	64	0.8036	0.3058	0.8036	0.8965
No log	9.0	72	0.8598	0.3223	0.8598	0.9272
No log	10.0	80	0.8466	0.3875	0.8466	0.9201
No log	11.0	88	0.6400	0.5625	0.6400	0.8000
No log	12.0	96	0.6059	0.5878	0.6059	0.7784
No log	13.0	104	0.8630	0.3564	0.8630	0.9290
No log	14.0	112	0.6245	0.5649	0.6245	0.7902
No log	15.0	120	0.8596	0.3309	0.8596	0.9271
No log	16.0	128	0.6917	0.5309	0.6917	0.8317
No log	17.0	136	0.6571	0.5440	0.6571	0.8106
No log	18.0	144	0.8434	0.4145	0.8434	0.9184
No log	19.0	152	0.6859	0.4966	0.6859	0.8282
No log	20.0	160	0.8466	0.3854	0.8466	0.9201
No log	21.0	168	1.1316	0.3109	1.1316	1.0638
No log	22.0	176	0.9114	0.4049	0.9114	0.9546
No log	23.0	184	0.6560	0.5822	0.6560	0.8099
No log	24.0	192	0.7722	0.4929	0.7722	0.8787
No log	25.0	200	0.7366	0.4610	0.7366	0.8582
No log	26.0	208	0.8554	0.4706	0.8554	0.9249
No log	27.0	216	0.7143	0.5018	0.7143	0.8452
No log	28.0	224	0.8495	0.3848	0.8495	0.9217
No log	29.0	232	0.9288	0.3943	0.9288	0.9637
No log	30.0	240	0.7220	0.5350	0.7220	0.8497
No log	31.0	248	0.7882	0.4765	0.7882	0.8878
No log	32.0	256	0.7631	0.4575	0.7631	0.8736

genki10/ASAP_FineTuningBERT_AugV6_k10_task1_organization_k10_k10_fold4

ASAP_FineTuningBERT_AugV6_k10_task1_organization_k10_k10_fold4