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	10.2534	0.0	10.2513	3.2018
No log	2.0	4	9.7757	0.0	9.7736	3.1263
No log	3.0	6	8.9350	0.0	8.9331	2.9888
No log	4.0	8	7.4962	0.0	7.4947	2.7376
No log	5.0	10	5.9859	0.0180	5.9846	2.4463
No log	6.0	12	4.7024	0.0137	4.7011	2.1682
No log	7.0	14	3.8942	0.0	3.8930	1.9731
No log	8.0	16	3.0106	0.0	3.0098	1.7349
No log	9.0	18	2.4031	0.1655	2.4024	1.5500
No log	10.0	20	2.0146	0.0591	2.0139	1.4191
No log	11.0	22	1.5620	0.0302	1.5615	1.2496
No log	12.0	24	1.2012	0.0202	1.2007	1.0957
No log	13.0	26	1.0922	0.0302	1.0918	1.0449
No log	14.0	28	0.9192	0.1758	0.9191	0.9587
No log	15.0	30	0.9736	0.1093	0.9734	0.9866
No log	16.0	32	0.9409	0.1248	0.9407	0.9699
No log	17.0	34	1.0092	0.0726	1.0090	1.0045
No log	18.0	36	1.2074	0.1005	1.2073	1.0988
No log	19.0	38	0.9655	0.2480	0.9656	0.9826
No log	20.0	40	0.8572	0.3033	0.8573	0.9259
No log	21.0	42	0.9743	0.2761	0.9745	0.9871
No log	22.0	44	1.1360	0.3186	1.1364	1.0660
No log	23.0	46	1.1196	0.3502	1.1202	1.0584
No log	24.0	48	0.6059	0.5404	0.6065	0.7788
No log	25.0	50	0.5783	0.5450	0.5791	0.7610
No log	26.0	52	0.7140	0.4870	0.7150	0.8455
No log	27.0	54	0.9869	0.3860	0.9877	0.9938
No log	28.0	56	1.0021	0.3852	1.0027	1.0014
No log	29.0	58	0.6050	0.5410	0.6056	0.7782
No log	30.0	60	0.6213	0.5737	0.6221	0.7888
No log	31.0	62	0.7427	0.4459	0.7434	0.8622
No log	32.0	64	0.7308	0.4850	0.7316	0.8553
No log	33.0	66	0.6693	0.5755	0.6700	0.8186
No log	34.0	68	0.7589	0.5195	0.7597	0.8716
No log	35.0	70	0.7899	0.5178	0.7908	0.8892
No log	36.0	72	0.7432	0.5309	0.7440	0.8626
No log	37.0	74	0.7592	0.5396	0.7601	0.8718
No log	38.0	76	0.7055	0.5692	0.7062	0.8404
No log	39.0	78	0.8195	0.4925	0.8202	0.9057
No log	40.0	80	0.7395	0.4959	0.7403	0.8604
No log	41.0	82	0.7360	0.5188	0.7369	0.8584
No log	42.0	84	0.8378	0.4050	0.8387	0.9158
No log	43.0	86	0.7133	0.5340	0.7141	0.8450
No log	44.0	88	0.6822	0.5382	0.6828	0.8263
No log	45.0	90	0.8401	0.4906	0.8409	0.9170
No log	46.0	92	0.8346	0.4616	0.8355	0.9140
No log	47.0	94	0.7262	0.5680	0.7271	0.8527
No log	48.0	96	0.7559	0.5738	0.7568	0.8700

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_sp030_lw050_fold3

BERT_AugV8_k1_task1_organization_sp030_lw050_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp030_lw050_fold3