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	3	9.0645	0.0	9.0629	3.0105
No log	2.0	6	6.0574	-0.0059	6.0559	2.4609
No log	3.0	9	4.2205	0.0124	4.2194	2.0541
No log	4.0	12	2.8548	0.0038	2.8538	1.6893
No log	5.0	15	2.0476	0.0717	2.0468	1.4307
No log	6.0	18	1.4127	0.0202	1.4120	1.1883
No log	7.0	21	1.1129	0.0202	1.1123	1.0546
No log	8.0	24	0.8915	0.2323	0.8910	0.9440
No log	9.0	27	1.3104	0.1274	1.3101	1.1446
No log	10.0	30	0.8444	0.3238	0.8443	0.9189
No log	11.0	33	0.8543	0.3418	0.8545	0.9244
No log	12.0	36	0.7197	0.3270	0.7200	0.8485
No log	13.0	39	0.6946	0.3999	0.6951	0.8337
No log	14.0	42	0.6779	0.3997	0.6784	0.8236
No log	15.0	45	0.8672	0.3076	0.8680	0.9317
No log	16.0	48	1.3920	0.1992	1.3931	1.1803
No log	17.0	51	0.9160	0.3520	0.9167	0.9575
No log	18.0	54	1.0087	0.3427	1.0094	1.0047
No log	19.0	57	0.8820	0.4124	0.8827	0.9395
No log	20.0	60	1.1108	0.3372	1.1115	1.0543
No log	21.0	63	1.0315	0.3729	1.0321	1.0159
No log	22.0	66	1.1257	0.3141	1.1262	1.0612
No log	23.0	69	1.0989	0.3272	1.0995	1.0486
No log	24.0	72	0.9371	0.3961	0.9377	0.9684
No log	25.0	75	1.1376	0.3204	1.1381	1.0668
No log	26.0	78	0.8943	0.4141	0.8948	0.9459
No log	27.0	81	1.3075	0.2396	1.3078	1.1436
No log	28.0	84	0.8101	0.4079	0.8106	0.9003
No log	29.0	87	1.3088	0.2535	1.3091	1.1442
No log	30.0	90	1.1610	0.3207	1.1613	1.0776
No log	31.0	93	0.8906	0.3991	0.8911	0.9440
No log	32.0	96	1.7408	0.1644	1.7412	1.3196
No log	33.0	99	1.0676	0.3502	1.0681	1.0335
No log	34.0	102	1.0694	0.3429	1.0697	1.0343
No log	35.0	105	0.9874	0.3635	0.9878	0.9939
No log	36.0	108	0.8369	0.3970	0.8373	0.9151
No log	37.0	111	1.4940	0.1968	1.4942	1.2224
No log	38.0	114	1.1063	0.3659	1.1068	1.0520
No log	39.0	117	0.8916	0.4251	0.8920	0.9445
No log	40.0	120	1.5300	0.1819	1.5302	1.2370
No log	41.0	123	1.0191	0.3776	1.0194	1.0097
No log	42.0	126	0.9977	0.3686	0.9981	0.9990
No log	43.0	129	1.0622	0.3503	1.0625	1.0308
No log	44.0	132	1.0469	0.3603	1.0472	1.0233
No log	45.0	135	1.1847	0.3160	1.1852	1.0887
No log	46.0	138	1.1811	0.2969	1.1816	1.0870
No log	47.0	141	1.0844	0.3300	1.0849	1.0416
No log	48.0	144	1.0082	0.3505	1.0084	1.0042
No log	49.0	147	1.1173	0.3197	1.1176	1.0572
No log	50.0	150	0.9987	0.3611	0.9991	0.9995
No log	51.0	153	1.2998	0.2624	1.3001	1.1402
No log	52.0	156	0.9770	0.3659	0.9773	0.9886
No log	53.0	159	1.0989	0.3211	1.0992	1.0484
No log	54.0	162	0.9992	0.3667	0.9995	0.9997

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k3_task1_organization_sp010_lw040_fold3

Trial3BERT_AugV8_k3_task1_organization_sp010_lw040_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k3_task1_organization_sp010_lw040_fold3