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 results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	6	7.3193	0.0018	7.3193	2.7054
No log	2.0	12	3.5566	0.0079	3.5566	1.8859
No log	3.0	18	1.7482	0.0317	1.7482	1.3222
No log	4.0	24	1.0571	0.0213	1.0571	1.0282
No log	5.0	30	1.0657	0.0405	1.0657	1.0323
No log	6.0	36	0.7804	0.2969	0.7804	0.8834
No log	7.0	42	1.0391	0.0399	1.0391	1.0193
No log	8.0	48	0.7759	0.2699	0.7759	0.8808
No log	9.0	54	0.8948	0.2407	0.8948	0.9459
No log	10.0	60	0.9306	0.2760	0.9306	0.9647
No log	11.0	66	1.0513	0.3203	1.0513	1.0253
No log	12.0	72	0.9988	0.3304	0.9988	0.9994
No log	13.0	78	1.2366	0.3002	1.2366	1.1120
No log	14.0	84	0.9998	0.3580	0.9998	0.9999
No log	15.0	90	0.9224	0.3314	0.9224	0.9604
No log	16.0	96	0.7812	0.4187	0.7812	0.8839
No log	17.0	102	0.9399	0.3534	0.9399	0.9695
No log	18.0	108	0.9385	0.3135	0.9385	0.9688
No log	19.0	114	0.9126	0.3148	0.9126	0.9553
No log	20.0	120	0.9073	0.3447	0.9073	0.9525
No log	21.0	126	0.9155	0.3551	0.9155	0.9568
No log	22.0	132	0.8661	0.3742	0.8661	0.9306
No log	23.0	138	0.9333	0.3667	0.9333	0.9661
No log	24.0	144	0.8841	0.3698	0.8841	0.9402
No log	25.0	150	0.8518	0.3545	0.8518	0.9229
No log	26.0	156	0.8577	0.3490	0.8577	0.9261
No log	27.0	162	0.8676	0.3302	0.8676	0.9315
No log	28.0	168	0.9301	0.3181	0.9301	0.9644
No log	29.0	174	0.9211	0.3285	0.9211	0.9597
No log	30.0	180	0.7504	0.4003	0.7504	0.8663
No log	31.0	186	1.0254	0.3357	1.0254	1.0126
No log	32.0	192	1.2128	0.2877	1.2128	1.1013
No log	33.0	198	1.1622	0.3078	1.1622	1.0781
No log	34.0	204	1.0928	0.3084	1.0928	1.0454
No log	35.0	210	1.0473	0.3257	1.0473	1.0234
No log	36.0	216	1.0331	0.3465	1.0331	1.0164
No log	37.0	222	1.1381	0.2944	1.1381	1.0668
No log	38.0	228	0.7716	0.3837	0.7716	0.8784
No log	39.0	234	0.9393	0.3394	0.9393	0.9692
No log	40.0	240	0.8827	0.3601	0.8827	0.9395
No log	41.0	246	0.9381	0.3627	0.9381	0.9685
No log	42.0	252	0.8847	0.3656	0.8847	0.9406
No log	43.0	258	0.9247	0.3607	0.9247	0.9616
No log	44.0	264	0.9283	0.3610	0.9283	0.9635
No log	45.0	270	0.9195	0.3729	0.9195	0.9589
No log	46.0	276	0.9773	0.3324	0.9773	0.9886

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

genki10/BERT_V8_sp20_lw10_ex40_lo00_k10_k10_fold4

BERT_V8_sp20_lw10_ex40_lo00_k10_k10_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_V8_sp20_lw10_ex40_lo00_k10_k10_fold4