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	4	10.1297	0.0	10.1277	3.1824
No log	2.0	8	7.5965	0.0	7.5949	2.7559
No log	3.0	12	5.1969	0.0096	5.1958	2.2794
No log	4.0	16	3.1660	0.0	3.1652	1.7791
No log	5.0	20	1.5106	0.0202	1.5099	1.2288
No log	6.0	24	0.9681	-0.0028	0.9676	0.9837
No log	7.0	28	1.0057	0.0412	1.0051	1.0026
No log	8.0	32	0.9807	0.2175	0.9804	0.9902
No log	9.0	36	0.8769	0.2573	0.8771	0.9366
No log	10.0	40	0.7408	0.3020	0.7409	0.8607
No log	11.0	44	1.0014	0.1033	1.0018	1.0009
No log	12.0	48	0.7301	0.4285	0.7299	0.8544
No log	13.0	52	0.7555	0.2862	0.7562	0.8696
No log	14.0	56	0.6485	0.4079	0.6487	0.8054
No log	15.0	60	1.1137	0.1436	1.1142	1.0555
No log	16.0	64	0.7053	0.4600	0.7052	0.8397
No log	17.0	68	0.6505	0.4450	0.6507	0.8067
No log	18.0	72	0.8787	0.2760	0.8793	0.9377
No log	19.0	76	0.6932	0.3957	0.6938	0.8329
No log	20.0	80	0.8833	0.3009	0.8840	0.9402
No log	21.0	84	0.7677	0.4044	0.7683	0.8765
No log	22.0	88	0.8252	0.3701	0.8259	0.9088
No log	23.0	92	0.9447	0.3359	0.9458	0.9725
No log	24.0	96	1.0348	0.3286	1.0357	1.0177
No log	25.0	100	0.8449	0.4567	0.8456	0.9195
No log	26.0	104	0.9536	0.3540	0.9545	0.9770
No log	27.0	108	0.8920	0.3886	0.8928	0.9449
No log	28.0	112	1.2111	0.1900	1.2118	1.1008
No log	29.0	116	0.9236	0.4294	0.9242	0.9614
No log	30.0	120	1.2831	0.1261	1.2834	1.1329
No log	31.0	124	0.7856	0.4919	0.7863	0.8867
No log	32.0	128	1.3409	0.1540	1.3412	1.1581
No log	33.0	132	0.8367	0.4477	0.8373	0.9151
No log	34.0	136	1.2494	0.2472	1.2496	1.1179
No log	35.0	140	0.8063	0.4678	0.8069	0.8983
No log	36.0	144	1.3131	0.1841	1.3130	1.1459
No log	37.0	148	0.7965	0.4450	0.7970	0.8927
No log	38.0	152	0.8838	0.3778	0.8842	0.9403
No log	39.0	156	1.0040	0.3407	1.0049	1.0024
No log	40.0	160	1.1924	0.1862	1.1930	1.0922
No log	41.0	164	1.1730	0.1999	1.1734	1.0832
No log	42.0	168	0.8331	0.4351	0.8336	0.9130
No log	43.0	172	1.1305	0.2345	1.1309	1.0634
No log	44.0	176	0.8030	0.4706	0.8032	0.8962
No log	45.0	180	1.1456	0.2190	1.1457	1.0704
No log	46.0	184	0.9526	0.3191	0.9530	0.9762

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k5_task1_organization_sp040_lw010_fold3

BERT_AugV8_k5_task1_organization_sp040_lw010_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k5_task1_organization_sp040_lw010_fold3