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	4	8.5553	0.0	8.5529	2.9245
No log	2.0	8	5.2425	0.0704	5.2402	2.2891
No log	3.0	12	3.5791	0.0	3.5771	1.8913
No log	4.0	16	1.9417	0.0952	1.9402	1.3929
No log	5.0	20	1.2256	0.0106	1.2242	1.1064
No log	6.0	24	0.9858	0.0	0.9845	0.9922
No log	7.0	28	0.7893	0.3760	0.7881	0.8878
No log	8.0	32	0.7375	0.4852	0.7363	0.8581
No log	9.0	36	0.5288	0.5397	0.5278	0.7265
No log	10.0	40	0.8401	0.4462	0.8390	0.9160
No log	11.0	44	0.5052	0.5389	0.5043	0.7102
No log	12.0	48	0.4799	0.5898	0.4790	0.6921
No log	13.0	52	0.6115	0.4641	0.6105	0.7814
No log	14.0	56	0.5761	0.5082	0.5750	0.7583
No log	15.0	60	0.5919	0.5888	0.5909	0.7687
No log	16.0	64	0.6697	0.5501	0.6686	0.8177
No log	17.0	68	0.7045	0.5085	0.7034	0.8387
No log	18.0	72	0.7003	0.5417	0.6991	0.8361
No log	19.0	76	0.8322	0.4893	0.8309	0.9115
No log	20.0	80	0.7500	0.5303	0.7491	0.8655
No log	21.0	84	0.8203	0.4938	0.8195	0.9053
No log	22.0	88	0.9351	0.4263	0.9336	0.9662
No log	23.0	92	0.8057	0.5383	0.8051	0.8973
No log	24.0	96	0.8032	0.4855	0.8019	0.8955
No log	25.0	100	0.8279	0.5155	0.8273	0.9096
No log	26.0	104	0.7674	0.5081	0.7662	0.8753
No log	27.0	108	0.7851	0.4946	0.7840	0.8855
No log	28.0	112	0.7357	0.5366	0.7349	0.8573
No log	29.0	116	0.7980	0.5091	0.7969	0.8927
No log	30.0	120	0.8441	0.4774	0.8429	0.9181
No log	31.0	124	0.7866	0.4956	0.7858	0.8865
No log	32.0	128	0.7555	0.5482	0.7543	0.8685

genki10/Version3_ASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold1

Version3_ASAP_FineTuningBERT_AugV12_k3_task1_organization_k3_k3_fold1