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	9.7421	-0.0002	9.7395	3.1208
No log	2.0	4	8.4315	0.0	8.4289	2.9033
No log	3.0	6	7.3167	0.0	7.3141	2.7045
No log	4.0	8	5.9150	0.0235	5.9126	2.4316
No log	5.0	10	4.3681	0.0006	4.3659	2.0895
No log	6.0	12	3.4464	0.0	3.4445	1.8559
No log	7.0	14	2.6735	0.0059	2.6718	1.6346
No log	8.0	16	1.9610	0.1564	1.9594	1.3998
No log	9.0	18	1.4961	-0.0011	1.4946	1.2226
No log	10.0	20	1.1270	0.0	1.1256	1.0610
No log	11.0	22	1.4623	-0.0274	1.4610	1.2087
No log	12.0	24	1.1012	-0.1099	1.1000	1.0488
No log	13.0	26	0.8972	0.2010	0.8962	0.9467
No log	14.0	28	0.9825	0.1706	0.9815	0.9907
No log	15.0	30	1.1083	0.1613	1.1071	1.0522
No log	16.0	32	0.9249	0.2962	0.9238	0.9612
No log	17.0	34	1.0007	0.1264	0.9999	0.9999
No log	18.0	36	1.1545	0.0313	1.1537	1.0741
No log	19.0	38	1.2439	0.0160	1.2429	1.1149
No log	20.0	40	1.1209	0.1178	1.1199	1.0582
No log	21.0	42	0.7638	0.3106	0.7629	0.8735
No log	22.0	44	0.7843	0.3368	0.7832	0.8850
No log	23.0	46	0.9118	0.2218	0.9108	0.9543
No log	24.0	48	1.1445	0.1756	1.1434	1.0693
No log	25.0	50	0.8752	0.4076	0.8744	0.9351
No log	26.0	52	0.8815	0.4067	0.8801	0.9382
No log	27.0	54	0.7359	0.5174	0.7349	0.8572
No log	28.0	56	0.6625	0.5940	0.6618	0.8135
No log	29.0	58	1.1077	0.3591	1.1065	1.0519
No log	30.0	60	1.1857	0.3585	1.1843	1.0882
No log	31.0	62	0.8030	0.5380	0.8024	0.8958
No log	32.0	64	0.6312	0.6007	0.6305	0.7941
No log	33.0	66	0.9764	0.4725	0.9750	0.9874
No log	34.0	68	1.1307	0.3837	1.1289	1.0625
No log	35.0	70	1.1027	0.3941	1.1018	1.0496
No log	36.0	72	1.0977	0.3834	1.0970	1.0474
No log	37.0	74	0.9603	0.4329	0.9589	0.9792
No log	38.0	76	0.8711	0.4640	0.8697	0.9326
No log	39.0	78	0.7870	0.5010	0.7860	0.8866
No log	40.0	80	0.8815	0.4406	0.8802	0.9382
No log	41.0	82	1.0357	0.3784	1.0347	1.0172
No log	42.0	84	0.9126	0.4685	0.9119	0.9549
No log	43.0	86	0.8175	0.5276	0.8165	0.9036
No log	44.0	88	0.9364	0.4351	0.9348	0.9669
No log	45.0	90	0.9052	0.4769	0.9039	0.9507
No log	46.0	92	0.9226	0.4841	0.9219	0.9602
No log	47.0	94	0.9078	0.4828	0.9070	0.9524

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k1_task1_organization_sp060_lw010_fold1

Trial3BERT_AugV8_k1_task1_organization_sp060_lw010_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k1_task1_organization_sp060_lw010_fold1