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	7	8.7157	0.0	8.7142	2.9520
No log	2.0	14	4.4519	0.0	4.4507	2.1097
No log	3.0	21	1.7164	0.0365	1.7157	1.3098
No log	4.0	28	1.1847	0.0266	1.1841	1.0882
No log	5.0	35	1.4422	0.0682	1.4419	1.2008
No log	6.0	42	1.8999	0.0502	1.9001	1.3784
No log	7.0	49	2.2649	0.0838	2.2654	1.5051
No log	8.0	56	1.9018	0.1327	1.9025	1.3793
No log	9.0	63	1.4811	0.1228	1.4818	1.2173
No log	10.0	70	1.8805	0.1149	1.8811	1.3715
No log	11.0	77	1.5938	0.1452	1.5945	1.2627
No log	12.0	84	2.1117	0.1135	2.1123	1.4534
No log	13.0	91	2.1277	0.1203	2.1284	1.4589
No log	14.0	98	1.8802	0.1374	1.8807	1.3714
No log	15.0	105	2.1051	0.1191	2.1058	1.4511
No log	16.0	112	1.8889	0.1590	1.8897	1.3747
No log	17.0	119	1.7748	0.1655	1.7754	1.3324
No log	18.0	126	2.2342	0.1280	2.2350	1.4950
No log	19.0	133	1.6353	0.1633	1.6361	1.2791
No log	20.0	140	1.5423	0.1694	1.5431	1.2422
No log	21.0	147	1.6890	0.1659	1.6899	1.3000
No log	22.0	154	1.5188	0.1297	1.5194	1.2327
No log	23.0	161	1.8314	0.1267	1.8320	1.3535
No log	24.0	168	1.7426	0.1412	1.7430	1.3202
No log	25.0	175	1.9794	0.1488	1.9799	1.4071
No log	26.0	182	1.9915	0.1388	1.9921	1.4114
No log	27.0	189	2.1360	0.1039	2.1365	1.4617
No log	28.0	196	1.6164	0.1419	1.6169	1.2716
No log	29.0	203	1.6278	0.1419	1.6284	1.2761
No log	30.0	210	1.5520	0.1755	1.5526	1.2460
No log	31.0	217	2.1843	0.1141	2.1851	1.4782
No log	32.0	224	1.9708	0.1192	1.9714	1.4041
No log	33.0	231	2.1450	0.0992	2.1458	1.4648
No log	34.0	238	2.4706	0.0579	2.4713	1.5720
No log	35.0	245	2.0731	0.1082	2.0738	1.4401
No log	36.0	252	2.1490	0.0888	2.1494	1.4661
No log	37.0	259	2.4288	0.0687	2.4293	1.5586
No log	38.0	266	2.4125	0.0789	2.4130	1.5534
No log	39.0	273	2.0502	0.1089	2.0508	1.4321
No log	40.0	280	2.1685	0.1081	2.1691	1.4728
No log	41.0	287	1.9116	0.1310	1.9120	1.3827
No log	42.0	294	2.0186	0.1297	2.0192	1.4210
No log	43.0	301	2.0800	0.1142	2.0805	1.4424
No log	44.0	308	1.9990	0.1152	1.9995	1.4140
No log	45.0	315	2.1681	0.0897	2.1685	1.4726

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k10_task1_organization_sp020_lw030_fold3

BERT_AugV8_k10_task1_organization_sp020_lw030_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k10_task1_organization_sp020_lw030_fold3