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	6	6.7739	0.0	6.7739	2.6027
No log	2.0	12	4.2141	0.0039	4.2141	2.0528
No log	3.0	18	2.1612	0.0616	2.1612	1.4701
No log	4.0	24	1.4485	0.0212	1.4485	1.2035
No log	5.0	30	1.2313	0.0316	1.2313	1.1096
No log	6.0	36	1.2969	0.0419	1.2969	1.1388
No log	7.0	42	1.2277	0.0372	1.2277	1.1080
No log	8.0	48	0.8954	0.2092	0.8954	0.9462
No log	9.0	54	0.8231	0.2408	0.8231	0.9072
No log	10.0	60	0.7039	0.3670	0.7039	0.8390
No log	11.0	66	0.6040	0.3550	0.6040	0.7772
No log	12.0	72	0.6046	0.3447	0.6046	0.7776
No log	13.0	78	0.6114	0.3449	0.6114	0.7819
No log	14.0	84	0.6003	0.4622	0.6003	0.7748
No log	15.0	90	0.5095	0.5696	0.5095	0.7138
No log	16.0	96	0.4906	0.5862	0.4906	0.7004
No log	17.0	102	0.5206	0.6066	0.5206	0.7215
No log	18.0	108	0.6945	0.5213	0.6946	0.8334
No log	19.0	114	0.8471	0.4299	0.8471	0.9204
No log	20.0	120	0.7637	0.4469	0.7637	0.8739
No log	21.0	126	0.8020	0.4158	0.8020	0.8956
No log	22.0	132	0.7913	0.4264	0.7913	0.8895
No log	23.0	138	0.9116	0.3236	0.9116	0.9548
No log	24.0	144	0.9759	0.2739	0.9759	0.9879
No log	25.0	150	0.7950	0.4736	0.7950	0.8916
No log	26.0	156	0.7700	0.4123	0.7700	0.8775
No log	27.0	162	0.8589	0.3639	0.8589	0.9268

genki10/ASAP_FineTuningBERT_AugV7_k7_task1_organization_k7_k7_fold0

ASAP_FineTuningBERT_AugV7_k7_task1_organization_k7_k7_fold0