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	3	10.2153	0.0	10.2155	3.1962
No log	2.0	6	8.5234	0.0	8.5237	2.9195
No log	3.0	9	6.9872	0.0	6.9874	2.6434
No log	4.0	12	5.0308	0.0127	5.0312	2.2430
No log	5.0	15	3.3696	0.0	3.3699	1.8357
No log	6.0	18	2.4731	0.0131	2.4736	1.5728
No log	7.0	21	1.6416	0.0280	1.6420	1.2814
No log	8.0	24	1.8272	0.0077	1.8278	1.3520
No log	9.0	27	0.9758	0.0107	0.9762	0.9880
No log	10.0	30	1.6700	0.0107	1.6704	1.2924
No log	11.0	33	1.6402	0.0107	1.6406	1.2808
No log	12.0	36	1.1744	0.0107	1.1747	1.0838
No log	13.0	39	1.0609	0.0213	1.0613	1.0302
No log	14.0	42	1.3175	0.0475	1.3181	1.1481
No log	15.0	45	0.6862	0.4288	0.6865	0.8286
No log	16.0	48	0.8404	0.1820	0.8407	0.9169
No log	17.0	51	1.5531	0.1140	1.5534	1.2463
No log	18.0	54	1.2403	0.0933	1.2405	1.1138
No log	19.0	57	0.8627	0.1895	0.8630	0.9290
No log	20.0	60	1.2658	0.1167	1.2660	1.1252
No log	21.0	63	0.9831	0.2712	0.9835	0.9917
No log	22.0	66	0.7248	0.2849	0.7251	0.8515
No log	23.0	69	0.9271	0.2740	0.9276	0.9631
No log	24.0	72	0.6232	0.3924	0.6232	0.7894
No log	25.0	75	0.8768	0.3415	0.8773	0.9367
No log	26.0	78	0.7600	0.3703	0.7608	0.8722
No log	27.0	81	0.7415	0.3006	0.7420	0.8614
No log	28.0	84	1.4781	0.1971	1.4799	1.2165
No log	29.0	87	0.9238	0.3095	0.9246	0.9616
No log	30.0	90	0.8805	0.3523	0.8811	0.9387
No log	31.0	93	1.0303	0.3301	1.0314	1.0156
No log	32.0	96	0.8331	0.4197	0.8332	0.9128
No log	33.0	99	1.0386	0.3519	1.0400	1.0198
No log	34.0	102	0.9549	0.3832	0.9560	0.9778
No log	35.0	105	0.8679	0.3907	0.8684	0.9319

genki10/ASAP_FineTuningBERT_AugV6_k3_task1_organization_k3_k3_fold2

ASAP_FineTuningBERT_AugV6_k3_task1_organization_k3_k3_fold2