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	9.6938	0.0	9.6921	3.1132
No log	2.0	4	7.6755	0.0	7.6741	2.7702
No log	3.0	6	6.2891	-0.0033	6.2875	2.5075
No log	4.0	8	4.4456	0.0114	4.4445	2.1082
No log	5.0	10	3.9045	0.0076	3.9034	1.9757
No log	6.0	12	2.8764	0.0076	2.8754	1.6957
No log	7.0	14	2.3846	0.0356	2.3837	1.5439
No log	8.0	16	2.1274	0.0931	2.1267	1.4583
No log	9.0	18	1.6826	0.0514	1.6819	1.2969
No log	10.0	20	1.4360	0.0202	1.4353	1.1980
No log	11.0	22	1.1915	0.0202	1.1909	1.0913
No log	12.0	24	1.1106	0.0202	1.1100	1.0536
No log	13.0	26	1.1256	0.0302	1.1251	1.0607
No log	14.0	28	0.9227	0.1322	0.9223	0.9604
No log	15.0	30	0.9521	0.0853	0.9517	0.9756
No log	16.0	32	0.9703	0.1994	0.9701	0.9849
No log	17.0	34	1.0356	0.1888	1.0354	1.0176
No log	18.0	36	0.7598	0.3991	0.7597	0.8716
No log	19.0	38	0.7009	0.3843	0.7009	0.8372
No log	20.0	40	0.7482	0.4035	0.7482	0.8650
No log	21.0	42	0.7129	0.4381	0.7130	0.8444
No log	22.0	44	0.6151	0.4603	0.6151	0.7843
No log	23.0	46	0.6498	0.4761	0.6498	0.8061
No log	24.0	48	0.6471	0.4714	0.6471	0.8045
No log	25.0	50	0.6105	0.4853	0.6107	0.7815
No log	26.0	52	0.7590	0.5200	0.7591	0.8713
No log	27.0	54	0.7626	0.5372	0.7627	0.8733
No log	28.0	56	0.6261	0.5705	0.6261	0.7913
No log	29.0	58	0.7081	0.5093	0.7082	0.8415
No log	30.0	60	0.7184	0.5261	0.7186	0.8477
No log	31.0	62	0.7046	0.5064	0.7049	0.8396
No log	32.0	64	0.7400	0.4924	0.7403	0.8604
No log	33.0	66	0.7501	0.4846	0.7504	0.8663
No log	34.0	68	0.6666	0.5044	0.6669	0.8166
No log	35.0	70	0.7175	0.4936	0.7178	0.8473
No log	36.0	72	0.7568	0.4596	0.7571	0.8701
No log	37.0	74	0.9438	0.4114	0.9442	0.9717
No log	38.0	76	0.8178	0.4487	0.8183	0.9046
No log	39.0	78	0.8695	0.4295	0.8701	0.9328
No log	40.0	80	0.7922	0.4905	0.7927	0.8903
No log	41.0	82	0.7234	0.4938	0.7238	0.8508
No log	42.0	84	0.7810	0.4822	0.7814	0.8840
No log	43.0	86	0.7225	0.4950	0.7229	0.8502

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial2BERT_AugV8_k1_task1_organization_sp010_lw060_fold3

Trial2BERT_AugV8_k1_task1_organization_sp010_lw060_fold3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial2BERT_AugV8_k1_task1_organization_sp010_lw060_fold3