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	6.9846	0.0	6.9822	2.6424
No log	2.0	12	3.0746	0.0	3.0728	1.7529
No log	3.0	18	1.3590	0.0276	1.3575	1.1651
No log	4.0	24	1.1190	0.0211	1.1176	1.0572
No log	5.0	30	1.2937	0.0669	1.2924	1.1368
No log	6.0	36	0.8176	0.2915	0.8165	0.9036
No log	7.0	42	1.1706	0.1258	1.1693	1.0814
No log	8.0	48	0.6881	0.3983	0.6872	0.8290
No log	9.0	54	0.7933	0.4043	0.7925	0.8902
No log	10.0	60	0.7754	0.3637	0.7747	0.8801
No log	11.0	66	0.6841	0.4388	0.6834	0.8267
No log	12.0	72	0.7203	0.4416	0.7196	0.8483
No log	13.0	78	0.7152	0.4368	0.7145	0.8453
No log	14.0	84	0.7723	0.4557	0.7716	0.8784
No log	15.0	90	0.9542	0.3860	0.9533	0.9764
No log	16.0	96	0.9719	0.3326	0.9710	0.9854
No log	17.0	102	0.7765	0.4027	0.7758	0.8808
No log	18.0	108	0.7728	0.4596	0.7720	0.8786
No log	19.0	114	0.7369	0.4849	0.7362	0.8580
No log	20.0	120	0.8201	0.4114	0.8196	0.9053
No log	21.0	126	0.8454	0.4035	0.8446	0.9190
No log	22.0	132	0.7752	0.4967	0.7746	0.8801
No log	23.0	138	0.8606	0.4233	0.8599	0.9273
No log	24.0	144	0.8587	0.3660	0.8582	0.9264
No log	25.0	150	0.8081	0.4272	0.8075	0.8986
No log	26.0	156	0.9343	0.3743	0.9334	0.9662
No log	27.0	162	0.8042	0.4250	0.8034	0.8963
No log	28.0	168	0.8241	0.3997	0.8232	0.9073
No log	29.0	174	0.8618	0.4208	0.8609	0.9278
No log	30.0	180	0.8902	0.3921	0.8892	0.9430
No log	31.0	186	0.9965	0.3560	0.9954	0.9977
No log	32.0	192	0.7602	0.4530	0.7594	0.8714

genki10/ASAP_FineTuningBERT_AugV7_k7_task1_organization_k7_k7_fold1

ASAP_FineTuningBERT_AugV7_k7_task1_organization_k7_k7_fold1