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	10.8241	0.0190	10.8241	3.2900
No log	2.0	4	10.1856	0.0018	10.1856	3.1915
No log	3.0	6	9.3778	0.0018	9.3778	3.0623
No log	4.0	8	8.0169	0.0	8.0169	2.8314
No log	5.0	10	7.1379	0.0	7.1379	2.6717
No log	6.0	12	6.5682	0.0	6.5682	2.5629
No log	7.0	14	5.6624	0.0172	5.6624	2.3796
No log	8.0	16	4.7152	0.0079	4.7152	2.1715
No log	9.0	18	3.8257	0.0079	3.8257	1.9559
No log	10.0	20	2.9967	0.0	2.9967	1.7311
No log	11.0	22	2.3932	0.0309	2.3932	1.5470
No log	12.0	24	2.0196	0.0926	2.0196	1.4211
No log	13.0	26	1.6252	0.0213	1.6252	1.2748
No log	14.0	28	1.4293	0.0213	1.4293	1.1955
No log	15.0	30	1.2242	0.0598	1.2242	1.1064
No log	16.0	32	1.0846	0.0926	1.0846	1.0414
No log	17.0	34	0.8819	0.0844	0.8819	0.9391
No log	18.0	36	0.8173	0.3433	0.8173	0.9041
No log	19.0	38	1.1247	0.2686	1.1247	1.0605
No log	20.0	40	1.1367	0.3343	1.1367	1.0662
No log	21.0	42	0.8620	0.3262	0.8620	0.9285
No log	22.0	44	0.7627	0.5442	0.7627	0.8733
No log	23.0	46	1.2999	0.3436	1.2999	1.1401
No log	24.0	48	1.4533	0.3232	1.4533	1.2055
No log	25.0	50	0.7866	0.5243	0.7866	0.8869
No log	26.0	52	0.6940	0.5564	0.6940	0.8330
No log	27.0	54	1.0192	0.4806	1.0192	1.0095
No log	28.0	56	1.3803	0.3861	1.3803	1.1749
No log	29.0	58	1.0745	0.4955	1.0745	1.0366
No log	30.0	60	1.5115	0.3646	1.5115	1.2294
No log	31.0	62	1.6866	0.3126	1.6866	1.2987
No log	32.0	64	1.2389	0.4429	1.2389	1.1131
No log	33.0	66	1.4844	0.3566	1.4844	1.2183
No log	34.0	68	1.6443	0.3068	1.6443	1.2823
No log	35.0	70	0.9986	0.4775	0.9986	0.9993
No log	36.0	72	0.9902	0.4748	0.9902	0.9951
No log	37.0	74	1.0705	0.4418	1.0705	1.0347
No log	38.0	76	1.0723	0.4464	1.0723	1.0355
No log	39.0	78	1.2288	0.4288	1.2288	1.1085
No log	40.0	80	1.1891	0.4314	1.1891	1.0904
No log	41.0	82	1.2519	0.4239	1.2519	1.1189

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_sp040_lw030_fold4

BERT_AugV8_k1_task1_organization_sp040_lw030_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp040_lw030_fold4