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	11.1077	0.0126	11.1077	3.3328
No log	2.0	4	7.2882	0.0018	7.2882	2.6997
No log	3.0	6	6.4907	0.0018	6.4907	2.5477
No log	4.0	8	5.8948	0.0112	5.8948	2.4279
No log	5.0	10	5.1834	0.0186	5.1834	2.2767
No log	6.0	12	4.4659	0.0040	4.4659	2.1133
No log	7.0	14	4.5526	0.0040	4.5526	2.1337
No log	8.0	16	4.2449	0.0040	4.2449	2.0603
No log	9.0	18	3.3167	0.0040	3.3167	1.8212
No log	10.0	20	3.4391	0.0040	3.4391	1.8545
No log	11.0	22	2.9083	0.0040	2.9083	1.7054
No log	12.0	24	2.2139	0.0388	2.2139	1.4879
No log	13.0	26	1.9831	0.0453	1.9831	1.4082
No log	14.0	28	1.6126	0.1031	1.6126	1.2699
No log	15.0	30	1.4057	0.0710	1.4057	1.1856
No log	16.0	32	1.1406	0.0445	1.1406	1.0680
No log	17.0	34	0.9510	0.0445	0.9510	0.9752
No log	18.0	36	1.5094	0.1763	1.5094	1.2286
No log	19.0	38	1.7185	0.2200	1.7185	1.3109
No log	20.0	40	0.8471	0.3146	0.8471	0.9204
No log	21.0	42	1.0741	-0.1022	1.0741	1.0364
No log	22.0	44	1.1736	-0.1798	1.1736	1.0833
No log	23.0	46	0.7732	0.2654	0.7732	0.8793
No log	24.0	48	1.1487	0.0457	1.1487	1.0718
No log	25.0	50	1.3764	0.0445	1.3764	1.1732
No log	26.0	52	1.2645	0.0445	1.2645	1.1245
No log	27.0	54	1.0828	0.0507	1.0828	1.0406
No log	28.0	56	0.9016	0.1848	0.9016	0.9495
No log	29.0	58	0.6854	0.4590	0.6854	0.8279
No log	30.0	60	0.6542	0.4404	0.6542	0.8088
No log	31.0	62	0.7748	0.2940	0.7748	0.8802
No log	32.0	64	0.6974	0.3946	0.6974	0.8351
No log	33.0	66	0.8678	0.3883	0.8678	0.9315
No log	34.0	68	1.0437	0.3798	1.0437	1.0216
No log	35.0	70	0.9716	0.4276	0.9716	0.9857
No log	36.0	72	0.8757	0.4543	0.8757	0.9358
No log	37.0	74	0.6478	0.5385	0.6478	0.8049
No log	38.0	76	0.5601	0.4858	0.5601	0.7484
No log	39.0	78	0.6332	0.3904	0.6332	0.7958
No log	40.0	80	0.5949	0.4021	0.5949	0.7713
No log	41.0	82	0.6912	0.4374	0.6912	0.8314
No log	42.0	84	1.1903	0.1741	1.1903	1.0910
No log	43.0	86	1.3564	0.1802	1.3564	1.1647
No log	44.0	88	1.2312	0.1769	1.2312	1.1096
No log	45.0	90	1.0943	0.1690	1.0943	1.0461
No log	46.0	92	0.8595	0.2468	0.8595	0.9271
No log	47.0	94	0.5887	0.4764	0.5887	0.7672
No log	48.0	96	0.5679	0.4625	0.5679	0.7536
No log	49.0	98	0.5562	0.5249	0.5562	0.7458
No log	50.0	100	0.8182	0.4570	0.8182	0.9045
No log	51.0	102	1.2060	0.3204	1.2060	1.0982
No log	52.0	104	1.2520	0.2921	1.2520	1.1189

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_sp010_lw020_fold4

Trial3BERT_AugV8_k1_task1_organization_sp010_lw020_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp010_lw020_fold4