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	10.5774	-0.0065	10.5746	3.2519
No log	2.0	4	8.8191	0.0	8.8165	2.9693
No log	3.0	6	6.4652	0.0034	6.4631	2.5423
No log	4.0	8	5.2814	0.0064	5.2793	2.2977
No log	5.0	10	4.0445	0.0010	4.0425	2.0106
No log	6.0	12	3.2740	0.0	3.2722	1.8089
No log	7.0	14	2.9022	0.0	2.9005	1.7031
No log	8.0	16	2.1886	0.1789	2.1868	1.4788
No log	9.0	18	2.1145	0.1197	2.1127	1.4535
No log	10.0	20	1.8838	0.0653	1.8821	1.3719
No log	11.0	22	1.4816	0.0315	1.4800	1.2166
No log	12.0	24	1.2660	0.0211	1.2646	1.1245
No log	13.0	26	1.1048	0.0211	1.1034	1.0504
No log	14.0	28	0.9448	0.0315	0.9435	0.9713
No log	15.0	30	0.8209	0.2120	0.8197	0.9054
No log	16.0	32	0.8701	0.3262	0.8690	0.9322
No log	17.0	34	0.9554	0.3107	0.9543	0.9769
No log	18.0	36	0.7095	0.5028	0.7084	0.8417
No log	19.0	38	0.6470	0.4381	0.6459	0.8037
No log	20.0	40	0.6269	0.4324	0.6258	0.7911
No log	21.0	42	0.6634	0.4967	0.6621	0.8137
No log	22.0	44	0.6745	0.5078	0.6732	0.8205
No log	23.0	46	0.5700	0.4832	0.5689	0.7542
No log	24.0	48	0.5479	0.5378	0.5468	0.7394
No log	25.0	50	0.7813	0.5468	0.7799	0.8831
No log	26.0	52	0.5741	0.5927	0.5729	0.7569
No log	27.0	54	0.6645	0.4881	0.6635	0.8146
No log	28.0	56	0.6492	0.5379	0.6480	0.8050
No log	29.0	58	0.7420	0.4991	0.7406	0.8606
No log	30.0	60	0.7454	0.4771	0.7443	0.8627
No log	31.0	62	0.7808	0.4478	0.7799	0.8831
No log	32.0	64	0.6600	0.5166	0.6590	0.8118
No log	33.0	66	0.6746	0.5397	0.6738	0.8209
No log	34.0	68	0.6323	0.5490	0.6315	0.7946
No log	35.0	70	0.6729	0.5499	0.6719	0.8197
No log	36.0	72	0.9523	0.4068	0.9516	0.9755
No log	37.0	74	1.0093	0.3621	1.0086	1.0043
No log	38.0	76	0.8237	0.4569	0.8226	0.9070
No log	39.0	78	0.7371	0.5153	0.7361	0.8579
No log	40.0	80	0.7367	0.5445	0.7358	0.8578
No log	41.0	82	0.6444	0.5778	0.6435	0.8022

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_lw040_fold1

BERT_AugV8_k1_task1_organization_sp030_lw040_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k1_task1_organization_sp030_lw040_fold1