learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.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	5	9.0340	0.0	9.0343	3.0057
No log	2.0	10	4.4760	0.0117	4.4765	2.1158
No log	3.0	15	2.1922	0.0808	2.1927	1.4808
No log	4.0	20	1.0628	0.0107	1.0633	1.0311
No log	5.0	25	0.7888	0.1245	0.7892	0.8884
No log	6.0	30	0.7470	0.3485	0.7472	0.8644
No log	7.0	35	1.1574	0.3578	1.1576	1.0759
No log	8.0	40	0.5514	0.4551	0.5515	0.7426
No log	9.0	45	0.5348	0.5415	0.5347	0.7312
No log	10.0	50	0.7381	0.4312	0.7379	0.8590
No log	11.0	55	0.7435	0.4368	0.7431	0.8620
No log	12.0	60	0.6753	0.4728	0.6746	0.8214
No log	13.0	65	0.9469	0.3611	0.9464	0.9728
No log	14.0	70	0.7844	0.4278	0.7838	0.8853
No log	15.0	75	0.7467	0.4495	0.7463	0.8639
No log	16.0	80	0.8831	0.3421	0.8825	0.9394
No log	17.0	85	1.4713	0.2213	1.4709	1.2128
No log	18.0	90	0.6028	0.5050	0.6024	0.7761
No log	19.0	95	1.2176	0.3136	1.2172	1.1033
No log	20.0	100	0.6082	0.4842	0.6078	0.7796
No log	21.0	105	0.6085	0.4749	0.6081	0.7798
No log	22.0	110	0.7646	0.4091	0.7643	0.8743
No log	23.0	115	0.9876	0.3496	0.9874	0.9937
No log	24.0	120	0.7792	0.3855	0.7790	0.8826
No log	25.0	125	0.6595	0.4475	0.6591	0.8119
No log	26.0	130	0.7317	0.3986	0.7314	0.8552
No log	27.0	135	0.7769	0.3806	0.7766	0.8812
No log	28.0	140	0.9485	0.3582	0.9481	0.9737
No log	29.0	145	0.7811	0.3739	0.7808	0.8836
No log	30.0	150	0.8494	0.3517	0.8491	0.9215
No log	31.0	155	0.7554	0.3916	0.7551	0.8690
No log	32.0	160	0.7924	0.3926	0.7921	0.8900
No log	33.0	165	0.6335	0.4626	0.6332	0.7957
No log	34.0	170	0.8664	0.3443	0.8662	0.9307
No log	35.0	175	0.5885	0.4835	0.5882	0.7670
No log	36.0	180	0.5951	0.4876	0.5948	0.7712
No log	37.0	185	1.0881	0.3089	1.0879	1.0430
No log	38.0	190	0.5716	0.5039	0.5713	0.7558
No log	39.0	195	0.8448	0.3508	0.8447	0.9191

genki10/BERT_V8_sp10_lw40_ex50_lo50_k10_k10_fold2

BERT_V8_sp10_lw40_ex50_lo50_k10_k10_fold2