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: 150

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	2	11.1940	0.0139	11.1922	3.3455
No log	2.0	4	9.8951	0.0	9.8932	3.1453
No log	3.0	6	8.8514	0.0	8.8496	2.9748
No log	4.0	8	7.8455	0.0	7.8439	2.8007
No log	5.0	10	6.3735	0.0012	6.3720	2.5243
No log	6.0	12	5.2244	0.0205	5.2231	2.2854
No log	7.0	14	4.8158	0.0038	4.8145	2.1942
No log	8.0	16	3.1977	0.0076	3.1966	1.7879
No log	9.0	18	2.4499	0.1014	2.4490	1.5649
No log	10.0	20	3.1361	-0.0061	3.1350	1.7706
No log	11.0	22	3.7096	-0.0038	3.7085	1.9257
No log	12.0	24	3.3689	-0.0038	3.3678	1.8352
No log	13.0	26	2.4800	0.0235	2.4791	1.5745
No log	14.0	28	1.7501	0.0102	1.7493	1.3226
No log	15.0	30	1.2726	0.0202	1.2720	1.1278
No log	16.0	32	1.2276	0.0202	1.2271	1.1077
No log	17.0	34	1.3195	0.0102	1.3186	1.1483
No log	18.0	36	1.5886	0.0102	1.5876	1.2600
No log	19.0	38	1.4383	0.0102	1.4374	1.1989
No log	20.0	40	1.0885	0.0266	1.0879	1.0430
No log	21.0	42	1.1517	0.0712	1.1515	1.0731
No log	22.0	44	0.9060	0.1843	0.9057	0.9517
No log	23.0	46	0.8051	0.1987	0.8048	0.8971
No log	24.0	48	0.7910	0.2188	0.7908	0.8893
No log	25.0	50	0.7773	0.2786	0.7772	0.8816
No log	26.0	52	1.0421	0.2663	1.0428	1.0212
No log	27.0	54	1.1770	0.3034	1.1778	1.0853
No log	28.0	56	0.7736	0.4399	0.7741	0.8798
No log	29.0	58	0.8147	0.4487	0.8154	0.9030
No log	30.0	60	1.9146	0.1907	1.9151	1.3839
No log	31.0	62	2.0100	0.1885	2.0104	1.4179
No log	32.0	64	0.8191	0.5030	0.8197	0.9054
No log	33.0	66	0.6658	0.4055	0.6658	0.8160
No log	34.0	68	0.7920	0.3189	0.7919	0.8899
No log	35.0	70	0.6635	0.3915	0.6637	0.8147
No log	36.0	72	0.8097	0.4076	0.8100	0.9000
No log	37.0	74	1.0786	0.2741	1.0788	1.0386
No log	38.0	76	0.7567	0.3859	0.7569	0.8700
No log	39.0	78	0.6582	0.3850	0.6587	0.8116
No log	40.0	80	0.6642	0.3841	0.6646	0.8152
No log	41.0	82	0.7258	0.3760	0.7261	0.8521
No log	42.0	84	0.7609	0.3838	0.7612	0.8725
No log	43.0	86	0.9034	0.2912	0.9035	0.9505
No log	44.0	88	0.8787	0.3543	0.8790	0.9375
No log	45.0	90	0.7503	0.3895	0.7510	0.8666
No log	46.0	92	0.8857	0.3708	0.8863	0.9415
No log	47.0	94	1.5605	0.2257	1.5606	1.2493

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial2BERT_AugV8_k1_task1_organization_sp010_lw020_fold3

Trial2BERT_AugV8_k1_task1_organization_sp010_lw020_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial2BERT_AugV8_k1_task1_organization_sp010_lw020_fold3