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	10.0573	0.0054	10.0577	3.1714
No log	2.0	4	8.0000	0.0	8.0004	2.8285
No log	3.0	6	7.1767	0.0	7.1768	2.6790
No log	4.0	8	5.9503	0.0185	5.9505	2.4394
No log	5.0	10	4.8349	0.0129	4.8353	2.1989
No log	6.0	12	3.9625	0.0078	3.9629	1.9907
No log	7.0	14	3.4237	0.0	3.4241	1.8504
No log	8.0	16	3.0377	0.0	3.0381	1.7430
No log	9.0	18	2.3930	0.0994	2.3934	1.5471
No log	10.0	20	1.8369	0.0202	1.8373	1.3555
No log	11.0	22	1.8135	0.0528	1.8140	1.3468
No log	12.0	24	1.2860	0.0213	1.2865	1.1342
No log	13.0	26	1.1458	0.0213	1.1463	1.0706
No log	14.0	28	1.0711	0.0213	1.0715	1.0351
No log	15.0	30	1.0455	0.0280	1.0459	1.0227
No log	16.0	32	0.8137	0.3119	0.8140	0.9022
No log	17.0	34	0.7897	0.2921	0.7900	0.8888
No log	18.0	36	0.7477	0.3728	0.7480	0.8649
No log	19.0	38	0.7358	0.4037	0.7360	0.8579
No log	20.0	40	0.8807	0.2649	0.8810	0.9386
No log	21.0	42	0.9497	0.2030	0.9499	0.9746
No log	22.0	44	0.5705	0.4824	0.5705	0.7553
No log	23.0	46	0.6081	0.3678	0.6082	0.7799
No log	24.0	48	0.6227	0.4177	0.6229	0.7892
No log	25.0	50	0.5136	0.4668	0.5136	0.7167
No log	26.0	52	0.6644	0.4972	0.6645	0.8151
No log	27.0	54	0.8178	0.4602	0.8179	0.9044
No log	28.0	56	0.7282	0.4596	0.7283	0.8534
No log	29.0	58	0.6589	0.4772	0.6590	0.8118
No log	30.0	60	0.5616	0.4895	0.5618	0.7495
No log	31.0	62	0.8532	0.3485	0.8536	0.9239
No log	32.0	64	0.8582	0.3111	0.8588	0.9267
No log	33.0	66	0.5777	0.4611	0.5780	0.7603
No log	34.0	68	0.5656	0.4119	0.5658	0.7522
No log	35.0	70	0.5337	0.4588	0.5339	0.7307
No log	36.0	72	0.5350	0.4683	0.5354	0.7317
No log	37.0	74	0.6089	0.4240	0.6095	0.7807
No log	38.0	76	0.5925	0.4570	0.5931	0.7701
No log	39.0	78	0.6551	0.4356	0.6556	0.8097
No log	40.0	80	0.6391	0.4157	0.6398	0.7999
No log	41.0	82	0.6174	0.4690	0.6180	0.7862

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k1_task1_organization_sp030_lw010_fold2

Trial3BERT_AugV8_k1_task1_organization_sp030_lw010_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp030_lw010_fold2