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	3	11.3214	0.0094	11.3214	3.3647
No log	2.0	6	8.3246	0.0018	8.3246	2.8852
No log	3.0	9	5.3375	0.0582	5.3375	2.3103
No log	4.0	12	3.0793	0.0118	3.0793	1.7548
No log	5.0	15	2.0698	0.1284	2.0698	1.4387
No log	6.0	18	1.6028	0.0470	1.6028	1.2660
No log	7.0	21	1.0975	0.0316	1.0975	1.0476
No log	8.0	24	0.8904	0.0700	0.8904	0.9436
No log	9.0	27	0.8983	0.0639	0.8983	0.9478
No log	10.0	30	0.8602	0.1622	0.8602	0.9275
No log	11.0	33	1.2817	0.2073	1.2817	1.1321
No log	12.0	36	0.7648	0.4181	0.7648	0.8745
No log	13.0	39	0.8452	0.3903	0.8452	0.9193
No log	14.0	42	1.3757	0.2509	1.3757	1.1729
No log	15.0	45	0.7724	0.4319	0.7724	0.8789
No log	16.0	48	1.1207	0.2505	1.1207	1.0586
No log	17.0	51	0.8152	0.4170	0.8152	0.9029
No log	18.0	54	0.9772	0.3912	0.9772	0.9885
No log	19.0	57	1.2064	0.2768	1.2064	1.0984
No log	20.0	60	0.9723	0.3662	0.9723	0.9861
No log	21.0	63	1.2237	0.3341	1.2237	1.1062
No log	22.0	66	1.2598	0.3286	1.2598	1.1224
No log	23.0	69	1.6266	0.2608	1.6266	1.2754
No log	24.0	72	0.8483	0.4149	0.8483	0.9210
No log	25.0	75	1.2178	0.3118	1.2178	1.1035
No log	26.0	78	0.9211	0.4115	0.9211	0.9597
No log	27.0	81	1.4879	0.2669	1.4879	1.2198
No log	28.0	84	0.8214	0.4369	0.8214	0.9063
No log	29.0	87	1.2220	0.2802	1.2220	1.1054
No log	30.0	90	1.1841	0.2760	1.1841	1.0882
No log	31.0	93	0.8707	0.3880	0.8707	0.9331
No log	32.0	96	1.4388	0.2293	1.4388	1.1995
No log	33.0	99	0.8966	0.3837	0.8966	0.9469
No log	34.0	102	0.9256	0.3860	0.9256	0.9621
No log	35.0	105	1.1876	0.3068	1.1876	1.0898
No log	36.0	108	1.1127	0.3199	1.1127	1.0548
No log	37.0	111	1.2604	0.3053	1.2604	1.1227
No log	38.0	114	0.7891	0.4207	0.7891	0.8883
No log	39.0	117	1.0389	0.3331	1.0389	1.0192
No log	40.0	120	1.0331	0.3375	1.0331	1.0164
No log	41.0	123	0.9212	0.3951	0.9212	0.9598
No log	42.0	126	1.2426	0.2802	1.2426	1.1147
No log	43.0	129	0.9133	0.3747	0.9133	0.9556

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k3_task1_organization_sp010_lw050_fold4

BERT_AugV8_k3_task1_organization_sp010_lw050_fold4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k3_task1_organization_sp010_lw050_fold4