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	8.2131	0.0	8.2132	2.8659
No log	2.0	6	5.1776	0.0117	5.1780	2.2755
No log	3.0	9	3.4914	0.0039	3.4918	1.8686
No log	4.0	12	2.5483	0.0363	2.5488	1.5965
No log	5.0	15	1.6475	0.0097	1.6480	1.2838
No log	6.0	18	1.2971	0.0107	1.2976	1.1391
No log	7.0	21	1.0772	0.0107	1.0776	1.0381
No log	8.0	24	0.9661	0.0156	0.9665	0.9831
No log	9.0	27	1.2095	0.0800	1.2100	1.1000
No log	10.0	30	0.7751	0.3436	0.7755	0.8806
No log	11.0	33	1.2733	0.1401	1.2739	1.1287
No log	12.0	36	0.6407	0.4272	0.6409	0.8005
No log	13.0	39	0.5971	0.4652	0.5972	0.7728
No log	14.0	42	1.1125	0.2368	1.1126	1.0548
No log	15.0	45	0.6947	0.3675	0.6947	0.8335
No log	16.0	48	0.6500	0.4357	0.6499	0.8061
No log	17.0	51	1.1743	0.3059	1.1742	1.0836
No log	18.0	54	0.5809	0.4711	0.5808	0.7621
No log	19.0	57	0.6848	0.4077	0.6844	0.8273
No log	20.0	60	0.8375	0.3425	0.8370	0.9149
No log	21.0	63	0.5962	0.4825	0.5958	0.7719
No log	22.0	66	1.1552	0.3090	1.1550	1.0747
No log	23.0	69	0.6377	0.4622	0.6372	0.7983
No log	24.0	72	1.2882	0.2226	1.2881	1.1349
No log	25.0	75	0.8547	0.3717	0.8545	0.9244
No log	26.0	78	0.9529	0.3270	0.9529	0.9762
No log	27.0	81	0.8880	0.3871	0.8879	0.9423
No log	28.0	84	1.1090	0.3185	1.1089	1.0531
No log	29.0	87	0.8659	0.4458	0.8657	0.9304
No log	30.0	90	0.9777	0.3850	0.9776	0.9887
No log	31.0	93	0.6127	0.5071	0.6125	0.7826
No log	32.0	96	1.2085	0.2965	1.2086	1.0994
No log	33.0	99	0.6276	0.4753	0.6276	0.7922
No log	34.0	102	0.6677	0.4474	0.6678	0.8172
No log	35.0	105	1.0668	0.3280	1.0670	1.0329
No log	36.0	108	0.6433	0.4830	0.6433	0.8021
No log	37.0	111	1.1128	0.3191	1.1130	1.0550
No log	38.0	114	0.8849	0.3809	0.8850	0.9408
No log	39.0	117	1.0733	0.2953	1.0735	1.0361
No log	40.0	120	0.9978	0.3353	0.9980	0.9990
No log	41.0	123	1.1011	0.2858	1.1014	1.0495
No log	42.0	126	0.7990	0.3837	0.7992	0.8940
No log	43.0	129	1.3648	0.2165	1.3651	1.1684
No log	44.0	132	0.8319	0.3899	0.8320	0.9121
No log	45.0	135	1.0195	0.3421	1.0197	1.0098
No log	46.0	138	0.7950	0.4034	0.7951	0.8917

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_lw060_fold2

Trial2BERT_AugV8_k3_task1_organization_sp010_lw060_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial2BERT_AugV8_k3_task1_organization_sp010_lw060_fold2