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	9.9011	0.0057	9.8982	3.1461
No log	2.0	4	7.1584	0.0	7.1557	2.6750
No log	3.0	6	6.0418	-0.0272	6.0390	2.4574
No log	4.0	8	4.6265	0.0079	4.6244	2.1504
No log	5.0	10	3.8009	0.0	3.7989	1.9491
No log	6.0	12	3.0711	0.0	3.0692	1.7519
No log	7.0	14	4.0454	-0.0437	4.0428	2.0107
No log	8.0	16	3.1078	-0.1038	3.1055	1.7622
No log	9.0	18	1.8384	0.0301	1.8367	1.3553
No log	10.0	20	1.6130	0.0315	1.6114	1.2694
No log	11.0	22	1.5402	0.0211	1.5386	1.2404
No log	12.0	24	1.3245	0.0106	1.3230	1.1502
No log	13.0	26	1.1452	0.0	1.1438	1.0695
No log	14.0	28	1.0673	0.0	1.0660	1.0325
No log	15.0	30	0.9463	-0.0020	0.9450	0.9721
No log	16.0	32	1.0201	0.0052	1.0187	1.0093
No log	17.0	34	1.1597	0.0211	1.1583	1.0762
No log	18.0	36	1.1777	0.0379	1.1763	1.0846
No log	19.0	38	1.1887	0.0605	1.1873	1.0896
No log	20.0	40	1.0104	0.0644	1.0091	1.0045
No log	21.0	42	0.8344	0.1744	0.8333	0.9128
No log	22.0	44	0.9170	0.1811	0.9158	0.9570
No log	23.0	46	1.1695	0.1364	1.1682	1.0808
No log	24.0	48	0.9876	0.1838	0.9865	0.9932
No log	25.0	50	0.8853	0.2294	0.8842	0.9403
No log	26.0	52	0.9411	0.1933	0.9401	0.9696
No log	27.0	54	1.1431	0.1464	1.1422	1.0687
No log	28.0	56	1.1882	0.1666	1.1874	1.0897
No log	29.0	58	1.0774	0.1845	1.0768	1.0377
No log	30.0	60	1.1147	0.1991	1.1143	1.0556
No log	31.0	62	1.7221	0.0975	1.7214	1.3120
No log	32.0	64	1.8026	0.1038	1.8019	1.3424
No log	33.0	66	1.1628	0.2892	1.1621	1.0780
No log	34.0	68	1.1040	0.3175	1.1034	1.0504
No log	35.0	70	1.6280	0.1526	1.6274	1.2757
No log	36.0	72	1.4966	0.1910	1.4960	1.2231
No log	37.0	74	1.0811	0.2918	1.0807	1.0395
No log	38.0	76	1.2725	0.2538	1.2719	1.1278
No log	39.0	78	1.6530	0.1752	1.6525	1.2855
No log	40.0	80	1.3826	0.1890	1.3822	1.1757
No log	41.0	82	1.0839	0.2793	1.0835	1.0409
No log	42.0	84	1.0904	0.2754	1.0900	1.0440
No log	43.0	86	1.2522	0.2494	1.2517	1.1188
No log	44.0	88	1.2068	0.2274	1.2063	1.0983
No log	45.0	90	1.3558	0.2152	1.3553	1.1642
No log	46.0	92	1.5162	0.1589	1.5157	1.2311
No log	47.0	94	1.3549	0.1997	1.3545	1.1638
No log	48.0	96	1.1682	0.2462	1.1677	1.0806
No log	49.0	98	1.2212	0.2457	1.2206	1.1048

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_sp040_lw010_fold1

Trial3BERT_AugV8_k1_task1_organization_sp040_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_sp040_lw010_fold1