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	7.6454	0.0	7.6438	2.7647
No log	2.0	12	3.4874	0.0038	3.4865	1.8672
No log	3.0	18	1.7313	0.0365	1.7307	1.3155
No log	4.0	24	1.0879	0.0365	1.0874	1.0428
No log	5.0	30	1.7554	0.0488	1.7548	1.3247
No log	6.0	36	1.5962	0.0296	1.5955	1.2631
No log	7.0	42	1.0735	0.1050	1.0734	1.0360
No log	8.0	48	0.7955	0.3156	0.7958	0.8921
No log	9.0	54	0.7378	0.2881	0.7384	0.8593
No log	10.0	60	0.9868	0.1624	0.9871	0.9936
No log	11.0	66	0.6446	0.3735	0.6449	0.8031
No log	12.0	72	1.0785	0.2101	1.0788	1.0387
No log	13.0	78	0.9879	0.2566	0.9882	0.9941
No log	14.0	84	0.9156	0.2948	0.9161	0.9571
No log	15.0	90	0.9889	0.2243	0.9890	0.9945
No log	16.0	96	0.6808	0.4551	0.6812	0.8254
No log	17.0	102	0.7452	0.3745	0.7457	0.8636
No log	18.0	108	0.9007	0.2927	0.9010	0.9492
No log	19.0	114	1.4500	0.0918	1.4498	1.2041
No log	20.0	120	0.7548	0.4332	0.7553	0.8691
No log	21.0	126	0.9427	0.2503	0.9433	0.9712
No log	22.0	132	0.9054	0.2658	0.9057	0.9517
No log	23.0	138	0.7926	0.4341	0.7928	0.8904
No log	24.0	144	1.1450	0.2309	1.1447	1.0699
No log	25.0	150	2.0383	0.0334	2.0370	1.4272
No log	26.0	156	0.8272	0.4425	0.8276	0.9097
No log	27.0	162	1.0511	0.2841	1.0509	1.0251
No log	28.0	168	0.6592	0.4766	0.6597	0.8122
No log	29.0	174	1.1231	0.2076	1.1226	1.0595
No log	30.0	180	0.9814	0.3013	0.9813	0.9906
No log	31.0	186	0.9676	0.2796	0.9673	0.9835
No log	32.0	192	0.8762	0.2943	0.8760	0.9359
No log	33.0	198	0.9718	0.2547	0.9715	0.9856
No log	34.0	204	1.3232	0.1787	1.3225	1.1500
No log	35.0	210	0.6883	0.4689	0.6884	0.8297
No log	36.0	216	1.2851	0.2092	1.2844	1.1333
No log	37.0	222	0.7677	0.3868	0.7676	0.8761
No log	38.0	228	0.9121	0.2403	0.9120	0.9550
No log	39.0	234	1.3697	0.1224	1.3690	1.1700
No log	40.0	240	0.7844	0.3844	0.7846	0.8858
No log	41.0	246	1.1358	0.2207	1.1353	1.0655
No log	42.0	252	0.9598	0.2808	0.9594	0.9795
No log	43.0	258	0.8547	0.3212	0.8544	0.9244

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_lw010_fold3

BERT_AugV8_k7_task1_organization_sp060_lw010_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k7_task1_organization_sp060_lw010_fold3