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	6	6.7198	0.0	6.7198	2.5923
No log	2.0	12	4.1203	0.0039	4.1203	2.0298
No log	3.0	18	1.9112	0.0409	1.9112	1.3825
No log	4.0	24	1.4112	0.0316	1.4112	1.1879
No log	5.0	30	1.5214	0.0382	1.5214	1.2334
No log	6.0	36	1.5376	0.0839	1.5376	1.2400
No log	7.0	42	1.4023	0.1192	1.4023	1.1842
No log	8.0	48	0.8957	0.2725	0.8957	0.9464
No log	9.0	54	0.9522	0.1902	0.9522	0.9758
No log	10.0	60	0.8162	0.2189	0.8162	0.9034
No log	11.0	66	1.0228	0.2738	1.0228	1.0113
No log	12.0	72	1.0802	0.1647	1.0802	1.0393
No log	13.0	78	1.1049	0.2303	1.1049	1.0511
No log	14.0	84	1.0733	0.2402	1.0733	1.0360
No log	15.0	90	0.9542	0.2295	0.9542	0.9769
No log	16.0	96	0.8893	0.2917	0.8893	0.9430
No log	17.0	102	1.9529	0.1102	1.9529	1.3975
No log	18.0	108	1.7933	0.0921	1.7933	1.3391
No log	19.0	114	1.0609	0.2627	1.0609	1.0300
No log	20.0	120	1.0125	0.2482	1.0125	1.0062
No log	21.0	126	1.1427	0.2572	1.1427	1.0690
No log	22.0	132	1.1222	0.2388	1.1222	1.0593
No log	23.0	138	1.5202	0.1907	1.5202	1.2330
No log	24.0	144	1.0405	0.2540	1.0405	1.0200
No log	25.0	150	1.3247	0.2387	1.3247	1.1510
No log	26.0	156	1.2891	0.1897	1.2891	1.1354
No log	27.0	162	1.1025	0.2663	1.1025	1.0500
No log	28.0	168	0.9883	0.3370	0.9883	0.9941
No log	29.0	174	1.3761	0.2195	1.3761	1.1731
No log	30.0	180	1.6906	0.1189	1.6906	1.3002
No log	31.0	186	1.5341	0.1499	1.5341	1.2386
No log	32.0	192	1.4899	0.1349	1.4899	1.2206
No log	33.0	198	1.4847	0.1419	1.4847	1.2185
No log	34.0	204	1.2289	0.2082	1.2289	1.1085
No log	35.0	210	1.0584	0.2399	1.0584	1.0288
No log	36.0	216	1.1881	0.2479	1.1881	1.0900
No log	37.0	222	1.4613	0.0982	1.4613	1.2088
No log	38.0	228	1.2361	0.2175	1.2361	1.1118
No log	39.0	234	1.3623	0.1496	1.3623	1.1672
No log	40.0	240	1.5788	0.1298	1.5788	1.2565
No log	41.0	246	1.5197	0.1223	1.5197	1.2328
No log	42.0	252	1.6366	0.1266	1.6366	1.2793
No log	43.0	258	1.3420	0.1731	1.3420	1.1584

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k7_task1_organization_sp060_lw040_fold0

BERT_AugV8_k7_task1_organization_sp060_lw040_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k7_task1_organization_sp060_lw040_fold0