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	5	7.8727	0.0	7.8702	2.8054
No log	2.0	10	3.5683	0.0079	3.5664	1.8885
No log	3.0	15	1.9814	0.0210	1.9799	1.4071
No log	4.0	20	1.3103	0.0	1.3088	1.1440
No log	5.0	25	1.6863	0.0669	1.6848	1.2980
No log	6.0	30	0.8926	0.2128	0.8914	0.9441
No log	7.0	35	1.9076	0.1347	1.9059	1.3805
No log	8.0	40	0.8566	0.2620	0.8553	0.9248
No log	9.0	45	1.0669	0.1656	1.0653	1.0321
No log	10.0	50	1.4453	0.1298	1.4434	1.2014
No log	11.0	55	0.7431	0.3442	0.7422	0.8615
No log	12.0	60	1.0965	0.2839	1.0953	1.0466
No log	13.0	65	1.0576	0.3084	1.0565	1.0278
No log	14.0	70	0.8851	0.3658	0.8840	0.9402
No log	15.0	75	0.8894	0.3650	0.8882	0.9424
No log	16.0	80	1.1155	0.2604	1.1141	1.0555
No log	17.0	85	1.4762	0.2193	1.4745	1.2143
No log	18.0	90	1.2488	0.2263	1.2472	1.1168
No log	19.0	95	1.3504	0.2067	1.3487	1.1614
No log	20.0	100	1.5741	0.1904	1.5723	1.2539
No log	21.0	105	1.4310	0.2004	1.4292	1.1955
No log	22.0	110	1.4192	0.1818	1.4174	1.1905
No log	23.0	115	0.9856	0.2915	0.9842	0.9921
No log	24.0	120	1.2399	0.2474	1.2384	1.1129
No log	25.0	125	1.5714	0.1911	1.5694	1.2528
No log	26.0	130	2.0421	0.1045	2.0397	1.4282
No log	27.0	135	1.1564	0.2502	1.1545	1.0745
No log	28.0	140	1.8893	0.1296	1.8873	1.3738
No log	29.0	145	1.2473	0.2062	1.2456	1.1161
No log	30.0	150	1.2450	0.2254	1.2432	1.1150
No log	31.0	155	1.7124	0.1645	1.7103	1.3078
No log	32.0	160	1.7210	0.1676	1.7191	1.3111
No log	33.0	165	1.1376	0.2134	1.1360	1.0659
No log	34.0	170	1.3979	0.1625	1.3963	1.1817
No log	35.0	175	1.3155	0.1591	1.3139	1.1462
No log	36.0	180	1.3612	0.1629	1.3596	1.1660
No log	37.0	185	1.1239	0.2252	1.1224	1.0594
No log	38.0	190	1.3851	0.1724	1.3836	1.1762
No log	39.0	195	1.4702	0.1672	1.4686	1.2119
No log	40.0	200	1.3435	0.1781	1.3420	1.1584
No log	41.0	205	1.5186	0.1702	1.5172	1.2318
No log	42.0	210	1.3982	0.1594	1.3968	1.1819
No log	43.0	215	1.0965	0.2424	1.0953	1.0466
No log	44.0	220	1.4079	0.1994	1.4065	1.1860

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_V8_sp20_lw10_ex50_lo00_k7_k7_fold1

BERT_V8_sp20_lw10_ex50_lo00_k7_k7_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_V8_sp20_lw10_ex50_lo00_k7_k7_fold1