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	5	8.2713	0.0054	8.2713	2.8760
No log	2.0	10	4.8344	0.0203	4.8344	2.1987
No log	3.0	15	2.2435	0.1521	2.2435	1.4978
No log	4.0	20	1.0958	0.0646	1.0958	1.0468
No log	5.0	25	0.8259	0.2558	0.8259	0.9088
No log	6.0	30	0.6625	0.4040	0.6625	0.8140
No log	7.0	35	0.9114	0.2887	0.9114	0.9547
No log	8.0	40	1.4004	0.1814	1.4004	1.1834
No log	9.0	45	0.7356	0.3320	0.7356	0.8577
No log	10.0	50	1.2132	0.1788	1.2132	1.1014
No log	11.0	55	0.7683	0.4033	0.7683	0.8765
No log	12.0	60	0.9528	0.3334	0.9528	0.9761
No log	13.0	65	0.8421	0.4069	0.8421	0.9177
No log	14.0	70	1.1746	0.3089	1.1746	1.0838
No log	15.0	75	1.6613	0.1988	1.6613	1.2889
No log	16.0	80	0.6624	0.4586	0.6624	0.8139
No log	17.0	85	1.2666	0.2555	1.2666	1.1254
No log	18.0	90	1.2015	0.2565	1.2015	1.0961
No log	19.0	95	1.3508	0.2178	1.3508	1.1623
No log	20.0	100	1.0363	0.2941	1.0363	1.0180
No log	21.0	105	0.9184	0.3363	0.9184	0.9583
No log	22.0	110	0.8043	0.3457	0.8043	0.8969
No log	23.0	115	0.9439	0.3183	0.9439	0.9715
No log	24.0	120	1.3419	0.2070	1.3419	1.1584
No log	25.0	125	1.1251	0.2694	1.1251	1.0607
No log	26.0	130	1.3597	0.1841	1.3597	1.1661
No log	27.0	135	1.0966	0.2787	1.0966	1.0472
No log	28.0	140	0.9978	0.3061	0.9978	0.9989
No log	29.0	145	0.9677	0.2895	0.9677	0.9837
No log	30.0	150	1.1643	0.2365	1.1643	1.0790
No log	31.0	155	1.0209	0.2755	1.0209	1.0104
No log	32.0	160	0.8705	0.3556	0.8705	0.9330
No log	33.0	165	1.4414	0.1839	1.4414	1.2006
No log	34.0	170	0.8012	0.3593	0.8012	0.8951
No log	35.0	175	1.4180	0.1669	1.4180	1.1908
No log	36.0	180	0.7810	0.3726	0.7810	0.8838
No log	37.0	185	0.8911	0.3360	0.8911	0.9440
No log	38.0	190	1.3132	0.1619	1.3132	1.1460
No log	39.0	195	1.0225	0.2178	1.0225	1.0112
No log	40.0	200	1.2752	0.1732	1.2752	1.1292
No log	41.0	205	0.9430	0.3160	0.9430	0.9711
No log	42.0	210	0.9242	0.3172	0.9242	0.9614
No log	43.0	215	1.2434	0.1806	1.2434	1.1151
No log	44.0	220	0.9034	0.3125	0.9034	0.9505
No log	45.0	225	1.0344	0.2789	1.0344	1.0170
No log	46.0	230	1.1358	0.2048	1.1358	1.0657

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.0

genki10/BERT_V8_sp20_lw10_ex30_lo00_k7_k7_fold0

BERT_V8_sp20_lw10_ex30_lo00_k7_k7_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_V8_sp20_lw10_ex30_lo00_k7_k7_fold0