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 results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	3	8.0740	0.0	8.0740	2.8415
No log	2.0	6	6.5882	0.0	6.5882	2.5667
No log	3.0	9	5.1942	0.0115	5.1942	2.2791
No log	4.0	12	3.9010	0.0039	3.9010	1.9751
No log	5.0	15	2.6842	0.0	2.6842	1.6384
No log	6.0	18	1.7962	0.0344	1.7962	1.3402
No log	7.0	21	1.3851	0.0382	1.3851	1.1769
No log	8.0	24	1.2365	0.0484	1.2365	1.1120
No log	9.0	27	1.3441	0.0978	1.3441	1.1593
No log	10.0	30	0.8916	0.0733	0.8916	0.9443
No log	11.0	33	1.2129	0.1631	1.2129	1.1013
No log	12.0	36	0.8306	0.3338	0.8306	0.9114
No log	13.0	39	0.9304	0.3072	0.9304	0.9646
No log	14.0	42	0.7009	0.3352	0.7009	0.8372
No log	15.0	45	0.7068	0.3967	0.7068	0.8407
No log	16.0	48	0.8128	0.3530	0.8128	0.9015
No log	17.0	51	0.7215	0.3431	0.7215	0.8494
No log	18.0	54	1.0502	0.2614	1.0502	1.0248
No log	19.0	57	0.8667	0.3075	0.8667	0.9310
No log	20.0	60	0.8957	0.3337	0.8957	0.9464
No log	21.0	63	0.9971	0.3274	0.9971	0.9985
No log	22.0	66	0.8908	0.3622	0.8908	0.9438
No log	23.0	69	0.9278	0.3196	0.9278	0.9632
No log	24.0	72	1.0819	0.2902	1.0819	1.0401
No log	25.0	75	0.8817	0.3441	0.8817	0.9390
No log	26.0	78	1.3487	0.2467	1.3487	1.1613
No log	27.0	81	0.8966	0.3429	0.8966	0.9469
No log	28.0	84	1.1673	0.2852	1.1673	1.0804
No log	29.0	87	0.8533	0.3447	0.8533	0.9237
No log	30.0	90	1.0180	0.2828	1.0180	1.0089
No log	31.0	93	0.9217	0.3367	0.9217	0.9601
No log	32.0	96	1.0930	0.2894	1.0930	1.0455
No log	33.0	99	0.8015	0.2951	0.8015	0.8953
No log	34.0	102	0.9184	0.3107	0.9184	0.9583
No log	35.0	105	0.9167	0.3218	0.9167	0.9574
No log	36.0	108	0.9675	0.3162	0.9675	0.9836
No log	37.0	111	0.9915	0.2989	0.9915	0.9957
No log	38.0	114	0.8745	0.3364	0.8745	0.9351
No log	39.0	117	1.0296	0.2750	1.0296	1.0147
No log	40.0	120	0.8449	0.3622	0.8449	0.9192
No log	41.0	123	1.1409	0.2825	1.1409	1.0681
No log	42.0	126	0.8841	0.3635	0.8841	0.9403
No log	43.0	129	1.1352	0.2782	1.1352	1.0654
No log	44.0	132	0.8332	0.3556	0.8332	0.9128
No log	45.0	135	1.0905	0.2636	1.0905	1.0443

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_V8_sp20_lw10_ex100_lo00_k3_k3_fold0

BERT_V8_sp20_lw10_ex100_lo00_k3_k3_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_V8_sp20_lw10_ex100_lo00_k3_k3_fold0