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	4	7.6852	0.0	7.6852	2.7722
No log	2.0	8	4.3924	0.0079	4.3924	2.0958
No log	3.0	12	2.6225	0.0040	2.6225	1.6194
No log	4.0	16	1.6783	0.0432	1.6783	1.2955
No log	5.0	20	1.0566	0.0212	1.0566	1.0279
No log	6.0	24	0.9603	0.0310	0.9603	0.9799
No log	7.0	28	1.4350	0.0484	1.4350	1.1979
No log	8.0	32	0.8649	0.2334	0.8649	0.9300
No log	9.0	36	0.9956	0.1472	0.9956	0.9978
No log	10.0	40	1.1372	0.2609	1.1372	1.0664
No log	11.0	44	0.7270	0.4443	0.7270	0.8526
No log	12.0	48	0.6761	0.3916	0.6761	0.8222
No log	13.0	52	0.7981	0.3532	0.7981	0.8934
No log	14.0	56	0.6918	0.4589	0.6918	0.8318
No log	15.0	60	0.6926	0.5291	0.6926	0.8322
No log	16.0	64	0.9074	0.4437	0.9074	0.9526
No log	17.0	68	0.7076	0.5115	0.7076	0.8412
No log	18.0	72	0.7593	0.5046	0.7593	0.8714
No log	19.0	76	0.7876	0.4624	0.7876	0.8875
No log	20.0	80	0.7343	0.4728	0.7343	0.8569
No log	21.0	84	0.7376	0.4990	0.7376	0.8588
No log	22.0	88	0.7141	0.4981	0.7141	0.8450
No log	23.0	92	0.7028	0.5068	0.7028	0.8383
No log	24.0	96	0.7847	0.4603	0.7847	0.8859
No log	25.0	100	0.8353	0.4244	0.8353	0.9139
No log	26.0	104	0.7059	0.4889	0.7059	0.8402
No log	27.0	108	1.0087	0.3493	1.0087	1.0043
No log	28.0	112	0.5947	0.5616	0.5947	0.7712
No log	29.0	116	0.7313	0.4418	0.7313	0.8552
No log	30.0	120	0.6589	0.5504	0.6589	0.8117
No log	31.0	124	0.7888	0.4542	0.7888	0.8882
No log	32.0	128	0.7826	0.4370	0.7826	0.8847
No log	33.0	132	0.7835	0.4391	0.7835	0.8852
No log	34.0	136	0.8954	0.4087	0.8954	0.9463
No log	35.0	140	0.5926	0.5679	0.5926	0.7698
No log	36.0	144	0.9144	0.3895	0.9144	0.9562
No log	37.0	148	0.6112	0.5596	0.6112	0.7818
No log	38.0	152	0.8593	0.3825	0.8593	0.9270
No log	39.0	156	0.6311	0.5195	0.6311	0.7944
No log	40.0	160	0.8590	0.4136	0.8590	0.9268
No log	41.0	164	0.7096	0.4792	0.7096	0.8424
No log	42.0	168	0.7121	0.4876	0.7121	0.8438
No log	43.0	172	0.9623	0.3402	0.9623	0.9810
No log	44.0	176	0.6471	0.5016	0.6471	0.8045
No log	45.0	180	0.8586	0.3767	0.8586	0.9266
No log	46.0	184	0.6931	0.4723	0.6931	0.8325
No log	47.0	188	0.6850	0.5086	0.6850	0.8276
No log	48.0	192	0.8139	0.4080	0.8139	0.9022
No log	49.0	196	0.8065	0.4075	0.8065	0.8980
No log	50.0	200	0.7087	0.4647	0.7087	0.8419

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k5_task1_organization_sp020_lw010_fold4

Trial3BERT_AugV8_k5_task1_organization_sp020_lw010_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k5_task1_organization_sp020_lw010_fold4