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	9.1332	0.0	9.1316	3.0219
No log	2.0	4	6.7100	0.0	6.7085	2.5901
No log	3.0	6	5.8424	-0.0044	5.8400	2.4166
No log	4.0	8	4.2425	0.0114	4.2416	2.0595
No log	5.0	10	3.3905	0.0076	3.3895	1.8411
No log	6.0	12	2.7142	0.0	2.7133	1.6472
No log	7.0	14	2.1884	0.1260	2.1875	1.4790
No log	8.0	16	1.7576	0.0753	1.7569	1.3255
No log	9.0	18	1.3808	0.0365	1.3802	1.1748
No log	10.0	20	1.1484	0.0202	1.1479	1.0714
No log	11.0	22	1.0169	0.0365	1.0165	1.0082
No log	12.0	24	1.1104	0.0823	1.1101	1.0536
No log	13.0	26	0.9751	0.1656	0.9749	0.9874
No log	14.0	28	0.6823	0.4432	0.6822	0.8260
No log	15.0	30	0.6627	0.4584	0.6626	0.8140
No log	16.0	32	1.1460	0.2827	1.1461	1.0705
No log	17.0	34	1.5365	0.2207	1.5367	1.2396
No log	18.0	36	1.2902	0.2683	1.2905	1.1360
No log	19.0	38	0.8253	0.3989	0.8256	0.9086
No log	20.0	40	0.7013	0.4791	0.7017	0.8377
No log	21.0	42	0.6627	0.4981	0.6631	0.8143
No log	22.0	44	0.9257	0.3806	0.9261	0.9623
No log	23.0	46	1.2798	0.2511	1.2801	1.1314
No log	24.0	48	1.1627	0.2576	1.1631	1.0785
No log	25.0	50	0.7046	0.4018	0.7052	0.8398
No log	26.0	52	0.7502	0.3932	0.7508	0.8665
No log	27.0	54	0.7737	0.3746	0.7745	0.8800
No log	28.0	56	0.9747	0.3813	0.9756	0.9877
No log	29.0	58	0.7818	0.4136	0.7825	0.8846
No log	30.0	60	0.6303	0.4983	0.6308	0.7942
No log	31.0	62	0.7393	0.4998	0.7398	0.8601
No log	32.0	64	0.7734	0.4880	0.7740	0.8798
No log	33.0	66	0.7152	0.5180	0.7158	0.8460
No log	34.0	68	0.8306	0.4553	0.8312	0.9117
No log	35.0	70	0.8358	0.4358	0.8364	0.9145
No log	36.0	72	0.8540	0.4093	0.8545	0.9244
No log	37.0	74	0.7237	0.4711	0.7241	0.8510
No log	38.0	76	0.7287	0.4781	0.7291	0.8539
No log	39.0	78	0.9635	0.3958	0.9637	0.9817
No log	40.0	80	0.8376	0.4300	0.8378	0.9153
No log	41.0	82	0.7382	0.5059	0.7385	0.8593
No log	42.0	84	0.8720	0.4564	0.8722	0.9339
No log	43.0	86	1.1581	0.3542	1.1583	1.0762
No log	44.0	88	0.9191	0.4264	0.9193	0.9588
No log	45.0	90	0.7169	0.5054	0.7172	0.8469
No log	46.0	92	0.7074	0.5119	0.7076	0.8412
No log	47.0	94	1.0290	0.3797	1.0293	1.0146
No log	48.0	96	1.1051	0.3567	1.1055	1.0514

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k1_task1_organization_sp010_lw060_fold3

BERT_AugV8_k1_task1_organization_sp010_lw060_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp010_lw060_fold3