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	7.6240	0.0	7.6240	2.7612
No log	2.0	12	3.2502	0.0077	3.2502	1.8028
No log	3.0	18	1.5742	0.0316	1.5742	1.2547
No log	4.0	24	0.8909	0.0901	0.8909	0.9439
No log	5.0	30	0.9822	0.0512	0.9822	0.9911
No log	6.0	36	1.0441	0.1099	1.0441	1.0218
No log	7.0	42	1.1571	0.1684	1.1571	1.0757
No log	8.0	48	0.6923	0.4457	0.6923	0.8320
No log	9.0	54	0.7588	0.3807	0.7588	0.8711
No log	10.0	60	0.8760	0.3092	0.8760	0.9359
No log	11.0	66	0.8431	0.3608	0.8431	0.9182
No log	12.0	72	1.2858	0.2560	1.2858	1.1340
No log	13.0	78	0.7319	0.4320	0.7319	0.8555
No log	14.0	84	0.6232	0.4844	0.6232	0.7894
No log	15.0	90	1.5638	0.1918	1.5638	1.2505
No log	16.0	96	1.0645	0.2444	1.0645	1.0317
No log	17.0	102	0.8990	0.2866	0.8990	0.9482
No log	18.0	108	0.9320	0.2916	0.9320	0.9654
No log	19.0	114	0.6770	0.4093	0.6770	0.8228
No log	20.0	120	0.7616	0.3569	0.7616	0.8727
No log	21.0	126	0.6888	0.4119	0.6888	0.8299
No log	22.0	132	0.7646	0.3759	0.7646	0.8744
No log	23.0	138	0.8887	0.2607	0.8887	0.9427
No log	24.0	144	1.3019	0.2194	1.3019	1.1410
No log	25.0	150	0.7850	0.3511	0.7850	0.8860
No log	26.0	156	0.6563	0.4223	0.6563	0.8101
No log	27.0	162	0.8578	0.3186	0.8578	0.9262
No log	28.0	168	1.1037	0.2704	1.1037	1.0505
No log	29.0	174	0.8156	0.3162	0.8156	0.9031
No log	30.0	180	1.0161	0.2871	1.0161	1.0080
No log	31.0	186	0.6385	0.4264	0.6385	0.7991
No log	32.0	192	0.7372	0.3523	0.7372	0.8586
No log	33.0	198	0.7928	0.3662	0.7928	0.8904
No log	34.0	204	0.7363	0.3634	0.7363	0.8581
No log	35.0	210	0.7967	0.3473	0.7967	0.8926
No log	36.0	216	1.0773	0.2841	1.0773	1.0379
No log	37.0	222	0.9301	0.2810	0.9301	0.9644
No log	38.0	228	0.7090	0.3766	0.7090	0.8421
No log	39.0	234	0.7571	0.3611	0.7571	0.8701
No log	40.0	240	1.1322	0.2604	1.1322	1.0641
No log	41.0	246	0.9553	0.2826	0.9553	0.9774
No log	42.0	252	0.8459	0.3251	0.8459	0.9197
No log	43.0	258	0.6794	0.4064	0.6794	0.8243
No log	44.0	264	0.7158	0.3894	0.7158	0.8460

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_fold0

BERT_V8_sp20_lw10_ex40_lo00_k10_k10_fold0

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_fold0