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	10.7083	0.0	10.7061	3.2720
No log	2.0	6	9.3177	0.0	9.3153	3.0521
No log	3.0	9	6.3851	0.0026	6.3836	2.5266
No log	4.0	12	4.7609	0.0038	4.7596	2.1817
No log	5.0	15	3.5482	0.0	3.5472	1.8834
No log	6.0	18	2.4730	0.0966	2.4721	1.5723
No log	7.0	21	1.7482	0.0202	1.7475	1.3219
No log	8.0	24	1.2724	0.0202	1.2718	1.1277
No log	9.0	27	1.3573	0.0202	1.3565	1.1647
No log	10.0	30	1.3933	0.0776	1.3928	1.1801
No log	11.0	33	1.7022	0.0484	1.7014	1.3044
No log	12.0	36	1.2495	0.0902	1.2494	1.1178
No log	13.0	39	0.8801	0.2855	0.8802	0.9382
No log	14.0	42	1.2005	0.0767	1.2002	1.0955
No log	15.0	45	0.8554	0.2817	0.8555	0.9249
No log	16.0	48	0.7490	0.3795	0.7495	0.8657
No log	17.0	51	0.7178	0.3531	0.7181	0.8474
No log	18.0	54	0.6282	0.3953	0.6285	0.7928
No log	19.0	57	0.6655	0.3734	0.6657	0.8159
No log	20.0	60	0.6028	0.4038	0.6031	0.7766
No log	21.0	63	0.7467	0.3274	0.7467	0.8641
No log	22.0	66	0.6469	0.4292	0.6471	0.8044
No log	23.0	69	0.7556	0.4122	0.7558	0.8694
No log	24.0	72	0.6305	0.5367	0.6309	0.7943
No log	25.0	75	0.7321	0.4216	0.7322	0.8557
No log	26.0	78	0.5970	0.5622	0.5972	0.7728
No log	27.0	81	1.0522	0.3434	1.0514	1.0254
No log	28.0	84	0.5842	0.5904	0.5844	0.7645
No log	29.0	87	0.6026	0.5828	0.6029	0.7765
No log	30.0	90	0.8845	0.3785	0.8842	0.9403
No log	31.0	93	0.5977	0.5978	0.5981	0.7733
No log	32.0	96	0.8067	0.4525	0.8065	0.8981
No log	33.0	99	0.6758	0.5101	0.6758	0.8220
No log	34.0	102	0.6361	0.5546	0.6363	0.7977
No log	35.0	105	0.7495	0.4385	0.7494	0.8657
No log	36.0	108	0.6616	0.5373	0.6617	0.8135
No log	37.0	111	0.7081	0.5163	0.7080	0.8414
No log	38.0	114	0.7486	0.4670	0.7487	0.8653
No log	39.0	117	0.8370	0.3959	0.8369	0.9148
No log	40.0	120	0.6484	0.5513	0.6485	0.8053
No log	41.0	123	0.9474	0.3952	0.9470	0.9731
No log	42.0	126	0.7448	0.5005	0.7447	0.8629
No log	43.0	129	0.7954	0.4460	0.7952	0.8918
No log	44.0	132	0.7950	0.4500	0.7950	0.8916
No log	45.0	135	0.7494	0.4709	0.7495	0.8657
No log	46.0	138	0.7760	0.4454	0.7759	0.8809

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial2BERT_AugV8_k3_task1_organization_sp010_lw070_fold3

Trial2BERT_AugV8_k3_task1_organization_sp010_lw070_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial2BERT_AugV8_k3_task1_organization_sp010_lw070_fold3