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	7.5373	0.0	7.5375	2.7454
No log	2.0	12	3.5842	0.0039	3.5846	1.8933
No log	3.0	18	1.8362	0.0213	1.8367	1.3552
No log	4.0	24	1.5654	0.0372	1.5658	1.2513
No log	5.0	30	1.4085	0.0665	1.4089	1.1870
No log	6.0	36	2.1683	0.1346	2.1686	1.4726
No log	7.0	42	1.1813	0.2518	1.1817	1.0870
No log	8.0	48	0.9406	0.2895	0.9410	0.9700
No log	9.0	54	1.4226	0.2024	1.4228	1.1928
No log	10.0	60	1.3605	0.2358	1.3608	1.1665
No log	11.0	66	1.1633	0.2802	1.1635	1.0787
No log	12.0	72	1.1947	0.3413	1.1945	1.0929
No log	13.0	78	0.9046	0.4255	0.9044	0.9510
No log	14.0	84	0.7668	0.4424	0.7667	0.8756
No log	15.0	90	0.8232	0.3940	0.8230	0.9072
No log	16.0	96	1.0990	0.3205	1.0987	1.0482
No log	17.0	102	0.9161	0.3709	0.9159	0.9570
No log	18.0	108	0.8948	0.3583	0.8944	0.9457
No log	19.0	114	0.9035	0.3718	0.9031	0.9503
No log	20.0	120	1.0514	0.3134	1.0511	1.0252
No log	21.0	126	0.9538	0.3543	0.9537	0.9766
No log	22.0	132	0.9888	0.3380	0.9888	0.9944
No log	23.0	138	0.8520	0.3717	0.8519	0.9230
No log	24.0	144	0.8251	0.4243	0.8250	0.9083
No log	25.0	150	1.0062	0.3207	1.0059	1.0030
No log	26.0	156	1.2133	0.2748	1.2131	1.1014
No log	27.0	162	1.0748	0.3277	1.0745	1.0366
No log	28.0	168	0.9125	0.3678	0.9124	0.9552
No log	29.0	174	0.8670	0.3803	0.8668	0.9310
No log	30.0	180	0.9462	0.3251	0.9459	0.9726
No log	31.0	186	1.0410	0.3147	1.0408	1.0202
No log	32.0	192	1.0949	0.2901	1.0945	1.0462
No log	33.0	198	1.1428	0.3003	1.1425	1.0689
No log	34.0	204	1.0589	0.3253	1.0587	1.0289

genki10/ASAP_FineTuningBERT_AugV9_k7_task1_organization_k7_k7_fold2

ASAP_FineTuningBERT_AugV9_k7_task1_organization_k7_k7_fold2