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	7	6.0345	0.0359	6.0345	2.4565
No log	2.0	14	2.8819	0.0	2.8819	1.6976
No log	3.0	21	1.4195	0.0212	1.4195	1.1914
No log	4.0	28	1.6993	0.0341	1.6993	1.3036
No log	5.0	35	1.5323	0.0450	1.5323	1.2379
No log	6.0	42	0.8169	0.1858	0.8169	0.9038
No log	7.0	49	0.7179	0.2263	0.7179	0.8473
No log	8.0	56	0.7470	0.1953	0.7470	0.8643
No log	9.0	63	0.8531	0.1824	0.8531	0.9236
No log	10.0	70	0.8308	0.1954	0.8308	0.9115
No log	11.0	77	0.9245	0.1839	0.9245	0.9615
No log	12.0	84	0.9101	0.2323	0.9101	0.9540
No log	13.0	91	1.1084	0.1562	1.1084	1.0528
No log	14.0	98	1.0078	0.2224	1.0078	1.0039
No log	15.0	105	1.1659	0.1405	1.1659	1.0798
No log	16.0	112	1.2018	0.1089	1.2018	1.0962
No log	17.0	119	1.1332	0.1611	1.1332	1.0645
No log	18.0	126	0.8515	0.3104	0.8515	0.9227
No log	19.0	133	1.1666	0.2291	1.1666	1.0801
No log	20.0	140	0.9541	0.2730	0.9541	0.9768
No log	21.0	147	1.1676	0.2358	1.1676	1.0806
No log	22.0	154	0.8612	0.2920	0.8612	0.9280
No log	23.0	161	0.8926	0.2938	0.8926	0.9448
No log	24.0	168	1.2901	0.1643	1.2901	1.1358
No log	25.0	175	1.3704	0.1093	1.3704	1.1706
No log	26.0	182	1.0299	0.2079	1.0299	1.0149
No log	27.0	189	1.1165	0.2324	1.1165	1.0566
No log	28.0	196	1.3532	0.1425	1.3532	1.1633
No log	29.0	203	1.2319	0.1972	1.2319	1.1099
No log	30.0	210	1.5711	0.1105	1.5711	1.2534
No log	31.0	217	1.0536	0.1866	1.0536	1.0264
No log	32.0	224	1.1005	0.2033	1.1005	1.0490
No log	33.0	231	0.9459	0.3252	0.9459	0.9726
No log	34.0	238	1.1168	0.1978	1.1168	1.0568
No log	35.0	245	1.0491	0.1765	1.0491	1.0242
No log	36.0	252	0.9796	0.2244	0.9796	0.9897
No log	37.0	259	1.2554	0.0951	1.2554	1.1205
No log	38.0	266	1.3080	0.1406	1.3080	1.1437
No log	39.0	273	0.9565	0.2399	0.9565	0.9780
No log	40.0	280	0.8974	0.2581	0.8974	0.9473
No log	41.0	287	1.0931	0.1669	1.0931	1.0455
No log	42.0	294	1.0753	0.1828	1.0753	1.0370
No log	43.0	301	1.3310	0.1140	1.3310	1.1537
No log	44.0	308	1.4000	0.1398	1.4000	1.1832
No log	45.0	315	1.2559	0.1235	1.2559	1.1207
No log	46.0	322	0.9438	0.2147	0.9438	0.9715
No log	47.0	329	0.8766	0.2472	0.8766	0.9363
No log	48.0	336	0.9382	0.2547	0.9382	0.9686

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/BERT_AugV8_k10_task1_organization_sp030_lw040_fold0

BERT_AugV8_k10_task1_organization_sp030_lw040_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
BERT_AugV8_k10_task1_organization_sp030_lw040_fold0