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	10.0374	0.0030	10.0350	3.1678
No log	2.0	4	6.9724	0.0	6.9700	2.6401
No log	3.0	6	5.1139	0.0265	5.1117	2.2609
No log	4.0	8	3.9831	0.0	3.9812	1.9953
No log	5.0	10	3.3792	0.0	3.3773	1.8377
No log	6.0	12	2.6068	0.0010	2.6050	1.6140
No log	7.0	14	2.0111	0.0592	2.0094	1.4175
No log	8.0	16	1.6495	0.0106	1.6480	1.2837
No log	9.0	18	1.2434	0.0	1.2419	1.1144
No log	10.0	20	1.1084	0.0	1.1069	1.0521
No log	11.0	22	0.9055	0.2743	0.9042	0.9509
No log	12.0	24	0.9182	0.0904	0.9169	0.9576
No log	13.0	26	0.8285	0.4168	0.8273	0.9095
No log	14.0	28	0.7524	0.3424	0.7512	0.8667
No log	15.0	30	0.7530	0.4510	0.7518	0.8670
No log	16.0	32	0.8854	0.1932	0.8840	0.9402
No log	17.0	34	1.1092	0.1617	1.1077	1.0525
No log	18.0	36	1.2599	0.1833	1.2583	1.1218
No log	19.0	38	0.8988	0.3426	0.8973	0.9472
No log	20.0	40	0.6139	0.3751	0.6129	0.7829
No log	21.0	42	0.7854	0.2890	0.7847	0.8858
No log	22.0	44	0.7421	0.3073	0.7411	0.8609
No log	23.0	46	1.0141	0.1527	1.0124	1.0062
No log	24.0	48	1.1191	0.1607	1.1172	1.0570
No log	25.0	50	0.7499	0.3658	0.7483	0.8651
No log	26.0	52	0.6603	0.3890	0.6594	0.8120
No log	27.0	54	0.6426	0.3812	0.6418	0.8011
No log	28.0	56	0.5260	0.5459	0.5249	0.7245
No log	29.0	58	0.7999	0.5150	0.7986	0.8937
No log	30.0	60	0.8105	0.5209	0.8092	0.8996
No log	31.0	62	0.6157	0.5870	0.6145	0.7839
No log	32.0	64	0.6322	0.4867	0.6311	0.7944
No log	33.0	66	0.8607	0.3262	0.8597	0.9272
No log	34.0	68	0.8041	0.3287	0.8028	0.8960
No log	35.0	70	0.6927	0.3850	0.6913	0.8315
No log	36.0	72	0.5707	0.4579	0.5696	0.7547
No log	37.0	74	0.5943	0.5534	0.5931	0.7701
No log	38.0	76	0.5850	0.5620	0.5839	0.7641
No log	39.0	78	0.6554	0.5525	0.6545	0.8090
No log	40.0	80	0.6956	0.5099	0.6945	0.8334
No log	41.0	82	0.7118	0.4570	0.7105	0.8429
No log	42.0	84	0.6511	0.4833	0.6500	0.8062
No log	43.0	86	0.6659	0.5635	0.6650	0.8155
No log	44.0	88	0.6002	0.5150	0.5992	0.7741
No log	45.0	90	0.6896	0.4997	0.6882	0.8296
No log	46.0	92	0.6122	0.5105	0.6109	0.7816

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_lw050_fold1

Trial2BERT_AugV8_k1_task1_organization_sp010_lw050_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial2BERT_AugV8_k1_task1_organization_sp010_lw050_fold1