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	12.5958	0.0	12.5960	3.5491
No log	2.0	4	11.0391	0.0171	11.0395	3.3226
No log	3.0	6	9.2611	0.0	9.2613	3.0432
No log	4.0	8	8.5186	0.0	8.5186	2.9187
No log	5.0	10	6.7680	0.0	6.7682	2.6016
No log	6.0	12	5.2834	0.0199	5.2837	2.2986
No log	7.0	14	4.1999	0.0117	4.2001	2.0494
No log	8.0	16	3.2196	0.0	3.2200	1.7944
No log	9.0	18	2.2456	0.0957	2.2461	1.4987
No log	10.0	20	1.6379	0.0422	1.6384	1.2800
No log	11.0	22	1.2637	0.0107	1.2642	1.1243
No log	12.0	24	1.0067	0.0107	1.0071	1.0035
No log	13.0	26	0.8715	0.0687	0.8718	0.9337
No log	14.0	28	0.9524	0.0629	0.9526	0.9760
No log	15.0	30	0.9405	0.1338	0.9408	0.9699
No log	16.0	32	0.7060	0.4541	0.7062	0.8403
No log	17.0	34	0.6369	0.4766	0.6370	0.7981
No log	18.0	36	0.7124	0.5044	0.7125	0.8441
No log	19.0	38	0.9738	0.3920	0.9740	0.9869
No log	20.0	40	0.5396	0.5539	0.5395	0.7345
No log	21.0	42	0.5163	0.5527	0.5162	0.7185
No log	22.0	44	1.1048	0.3556	1.1049	1.0512
No log	23.0	46	1.2211	0.3205	1.2212	1.1051
No log	24.0	48	0.7636	0.4703	0.7636	0.8738
No log	25.0	50	0.5480	0.5300	0.5479	0.7402
No log	26.0	52	0.7926	0.4520	0.7926	0.8903
No log	27.0	54	1.0427	0.3573	1.0427	1.0212
No log	28.0	56	1.1322	0.3620	1.1322	1.0640
No log	29.0	58	0.6702	0.5235	0.6700	0.8186
No log	30.0	60	0.5348	0.5573	0.5344	0.7310
No log	31.0	62	0.5794	0.5536	0.5792	0.7610
No log	32.0	64	1.5618	0.3081	1.5619	1.2498
No log	33.0	66	1.8118	0.2224	1.8120	1.3461
No log	34.0	68	0.8824	0.4600	0.8824	0.9393
No log	35.0	70	0.5871	0.5674	0.5864	0.7658
No log	36.0	72	0.6101	0.5667	0.6093	0.7806
No log	37.0	74	0.6329	0.5256	0.6324	0.7952
No log	38.0	76	0.7131	0.4901	0.7128	0.8442
No log	39.0	78	0.6543	0.5291	0.6538	0.8086
No log	40.0	80	0.7095	0.5203	0.7091	0.8421
No log	41.0	82	0.7100	0.5401	0.7096	0.8424
No log	42.0	84	0.7149	0.5360	0.7146	0.8453
No log	43.0	86	0.8958	0.5001	0.8959	0.9465
No log	44.0	88	0.8247	0.5160	0.8247	0.9081
No log	45.0	90	0.7967	0.5285	0.7966	0.8925
No log	46.0	92	1.0395	0.4624	1.0398	1.0197
No log	47.0	94	0.9453	0.4944	0.9456	0.9724
No log	48.0	96	0.7591	0.5420	0.7590	0.8712
No log	49.0	98	0.7171	0.5535	0.7168	0.8467
No log	50.0	100	0.8702	0.4927	0.8703	0.9329

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_lw040_fold2

BERT_AugV8_k1_task1_organization_sp010_lw040_fold2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp010_lw040_fold2