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	8.1105	0.0	8.1105	2.8479
No log	2.0	6	6.7264	0.0	6.7264	2.5935
No log	3.0	9	5.5040	0.0119	5.5040	2.3461
No log	4.0	12	4.2250	0.0039	4.2250	2.0555
No log	5.0	15	3.0706	0.0	3.0706	1.7523
No log	6.0	18	2.0391	0.0538	2.0391	1.4280
No log	7.0	21	1.4493	0.0316	1.4493	1.2039
No log	8.0	24	1.0010	0.0316	1.0010	1.0005
No log	9.0	27	0.7983	0.3806	0.7983	0.8935
No log	10.0	30	0.7938	0.3167	0.7938	0.8909
No log	11.0	33	0.6059	0.4931	0.6059	0.7784
No log	12.0	36	1.9503	0.1967	1.9503	1.3965
No log	13.0	39	1.3272	0.2108	1.3272	1.1520
No log	14.0	42	0.6083	0.3435	0.6083	0.7799
No log	15.0	45	0.7412	0.3892	0.7412	0.8609
No log	16.0	48	0.6236	0.4544	0.6236	0.7897
No log	17.0	51	0.6610	0.3259	0.6610	0.8130
No log	18.0	54	0.9129	0.3188	0.9129	0.9555
No log	19.0	57	0.6787	0.4806	0.6787	0.8239
No log	20.0	60	0.8827	0.2770	0.8827	0.9395
No log	21.0	63	0.8223	0.3316	0.8223	0.9068
No log	22.0	66	0.9429	0.3930	0.9429	0.9710
No log	23.0	69	0.7651	0.4379	0.7651	0.8747
No log	24.0	72	0.6097	0.5004	0.6097	0.7808
No log	25.0	75	1.0426	0.3174	1.0426	1.0211
No log	26.0	78	0.6339	0.5217	0.6339	0.7962
No log	27.0	81	0.9197	0.4630	0.9197	0.9590
No log	28.0	84	0.7102	0.5422	0.7102	0.8427
No log	29.0	87	0.7571	0.4686	0.7571	0.8701
No log	30.0	90	0.8001	0.3912	0.8001	0.8945
No log	31.0	93	0.6646	0.4578	0.6646	0.8152
No log	32.0	96	0.7425	0.4268	0.7425	0.8617
No log	33.0	99	0.7102	0.4770	0.7102	0.8427
No log	34.0	102	0.9346	0.3883	0.9346	0.9667
No log	35.0	105	0.6974	0.4876	0.6974	0.8351
No log	36.0	108	0.6749	0.4987	0.6749	0.8215
No log	37.0	111	0.6234	0.5150	0.6234	0.7895
No log	38.0	114	0.6921	0.4900	0.6921	0.8319
No log	39.0	117	0.8282	0.4320	0.8282	0.9101
No log	40.0	120	0.6971	0.4858	0.6971	0.8350
No log	41.0	123	0.7498	0.4353	0.7498	0.8659
No log	42.0	126	0.7206	0.4428	0.7206	0.8489
No log	43.0	129	0.6567	0.5004	0.6567	0.8104

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_lw010_fold0

Trial3BERT_AugV8_k3_task1_organization_sp010_lw010_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k3_task1_organization_sp010_lw010_fold0