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	5	6.2785	0.0002	6.2761	2.5052
No log	2.0	10	3.2994	0.0	3.2976	1.8159
No log	3.0	15	1.9419	0.0545	1.9402	1.3929
No log	4.0	20	1.1451	0.0	1.1437	1.0694
No log	5.0	25	0.9635	0.0753	0.9622	0.9809
No log	6.0	30	1.1142	0.0032	1.1124	1.0547
No log	7.0	35	0.9805	0.0377	0.9792	0.9895
No log	8.0	40	1.0078	0.0691	1.0068	1.0034
No log	9.0	45	0.8579	0.1627	0.8571	0.9258
No log	10.0	50	0.8825	0.2084	0.8818	0.9390
No log	11.0	55	1.1220	0.2230	1.1214	1.0590
No log	12.0	60	1.4488	0.1826	1.4480	1.2033
No log	13.0	65	1.0807	0.2134	1.0799	1.0392
No log	14.0	70	1.2331	0.1528	1.2319	1.1099
No log	15.0	75	1.5375	0.0742	1.5361	1.2394
No log	16.0	80	0.8848	0.3215	0.8839	0.9401
No log	17.0	85	0.9288	0.3345	0.9280	0.9633
No log	18.0	90	1.1758	0.2329	1.1746	1.0838
No log	19.0	95	0.8572	0.3478	0.8563	0.9254
No log	20.0	100	1.0145	0.2669	1.0132	1.0066
No log	21.0	105	0.9231	0.3494	0.9220	0.9602
No log	22.0	110	1.0098	0.2418	1.0085	1.0042
No log	23.0	115	1.0602	0.2291	1.0588	1.0290
No log	24.0	120	1.0365	0.2669	1.0351	1.0174
No log	25.0	125	1.0886	0.2621	1.0872	1.0427
No log	26.0	130	1.0049	0.2470	1.0035	1.0018
No log	27.0	135	0.9261	0.2707	0.9248	0.9616
No log	28.0	140	1.1757	0.1905	1.1741	1.0835
No log	29.0	145	0.9692	0.3328	0.9679	0.9838
No log	30.0	150	1.0515	0.2257	1.0500	1.0247
No log	31.0	155	1.0749	0.1661	1.0734	1.0361
No log	32.0	160	1.1056	0.1983	1.1042	1.0508
No log	33.0	165	1.1467	0.2254	1.1452	1.0702
No log	34.0	170	0.8267	0.4091	0.8257	0.9087
No log	35.0	175	1.3787	0.1599	1.3771	1.1735
No log	36.0	180	0.8326	0.4075	0.8316	0.9119
No log	37.0	185	0.9494	0.3059	0.9482	0.9738
No log	38.0	190	1.1253	0.1689	1.1239	1.0601
No log	39.0	195	1.1046	0.2150	1.1031	1.0503
No log	40.0	200	0.9501	0.3294	0.9488	0.9740
No log	41.0	205	0.9097	0.3041	0.9085	0.9531
No log	42.0	210	1.0036	0.2342	1.0023	1.0012
No log	43.0	215	1.0397	0.1975	1.0385	1.0190
No log	44.0	220	1.1332	0.1912	1.1318	1.0639
No log	45.0	225	0.9362	0.2759	0.9350	0.9670
No log	46.0	230	1.1048	0.2031	1.1034	1.0504
No log	47.0	235	1.1944	0.1799	1.1929	1.0922
No log	48.0	240	0.9437	0.2797	0.9425	0.9708
No log	49.0	245	1.0504	0.2323	1.0491	1.0243

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k7_task1_organization_sp040_lw010_fold1

Trial3BERT_AugV8_k7_task1_organization_sp040_lw010_fold1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k7_task1_organization_sp040_lw010_fold1