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	8.0893	0.0	8.0893	2.8442
No log	2.0	6	6.7889	0.0	6.7889	2.6056
No log	3.0	9	5.5036	0.0112	5.5036	2.3460
No log	4.0	12	4.2704	0.0039	4.2704	2.0665
No log	5.0	15	3.1360	0.0	3.1360	1.7709
No log	6.0	18	2.1775	0.0921	2.1775	1.4756
No log	7.0	21	1.7157	0.0409	1.7157	1.3099
No log	8.0	24	1.1835	0.0316	1.1835	1.0879
No log	9.0	27	0.9951	0.0316	0.9951	0.9975
No log	10.0	30	0.8263	0.2628	0.8263	0.9090
No log	11.0	33	0.8878	0.2139	0.8878	0.9422
No log	12.0	36	0.9394	0.2465	0.9394	0.9692
No log	13.0	39	0.8875	0.3263	0.8875	0.9421
No log	14.0	42	0.9337	0.3266	0.9337	0.9663
No log	15.0	45	0.6167	0.4566	0.6167	0.7853
No log	16.0	48	1.1628	0.3048	1.1628	1.0783
No log	17.0	51	0.6795	0.3624	0.6795	0.8243
No log	18.0	54	1.1172	0.2676	1.1172	1.0570
No log	19.0	57	0.7569	0.3502	0.7569	0.8700
No log	20.0	60	0.6394	0.4428	0.6394	0.7996
No log	21.0	63	1.8075	0.1829	1.8075	1.3444
No log	22.0	66	0.9416	0.3199	0.9416	0.9703
No log	23.0	69	0.7331	0.3876	0.7331	0.8562
No log	24.0	72	1.3528	0.1939	1.3528	1.1631
No log	25.0	75	0.8416	0.3332	0.8416	0.9174
No log	26.0	78	0.8419	0.3640	0.8419	0.9175
No log	27.0	81	1.2499	0.2435	1.2499	1.1180
No log	28.0	84	0.8743	0.3420	0.8743	0.9351
No log	29.0	87	1.3784	0.2244	1.3784	1.1741
No log	30.0	90	0.8791	0.3507	0.8791	0.9376
No log	31.0	93	1.1052	0.2770	1.1052	1.0513
No log	32.0	96	1.2395	0.2417	1.2395	1.1133
No log	33.0	99	0.6989	0.4356	0.6989	0.8360
No log	34.0	102	0.7947	0.3619	0.7947	0.8914
No log	35.0	105	1.1624	0.2600	1.1624	1.0782
No log	36.0	108	1.1862	0.2501	1.1862	1.0891
No log	37.0	111	0.8125	0.3578	0.8125	0.9014
No log	38.0	114	0.9884	0.3095	0.9884	0.9942
No log	39.0	117	0.9917	0.2988	0.9917	0.9958
No log	40.0	120	0.8693	0.3337	0.8693	0.9323
No log	41.0	123	1.0468	0.2826	1.0468	1.0231
No log	42.0	126	1.1354	0.2570	1.1354	1.0656
No log	43.0	129	1.0344	0.2852	1.0344	1.0170
No log	44.0	132	0.8822	0.3322	0.8822	0.9392
No log	45.0	135	1.1040	0.2457	1.1040	1.0507

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_k3_k3_fold0

BERT_V8_sp20_lw10_ex50_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_ex50_lo00_k3_k3_fold0