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	8.1141	0.0	8.1141	2.8485
No log	2.0	6	6.6547	0.0	6.6547	2.5797
No log	3.0	9	5.3405	0.0115	5.3405	2.3110
No log	4.0	12	4.1065	0.0039	4.1065	2.0264
No log	5.0	15	2.8229	0.0	2.8229	1.6801
No log	6.0	18	1.8850	0.0409	1.8850	1.3729
No log	7.0	21	1.3426	0.0316	1.3426	1.1587
No log	8.0	24	1.1576	0.0382	1.1576	1.0759
No log	9.0	27	1.4359	0.0850	1.4359	1.1983
No log	10.0	30	0.8026	0.3525	0.8026	0.8959
No log	11.0	33	0.8917	0.1515	0.8917	0.9443
No log	12.0	36	2.1173	0.1763	2.1173	1.4551
No log	13.0	39	1.2034	0.2365	1.2034	1.0970
No log	14.0	42	0.6541	0.4288	0.6541	0.8088
No log	15.0	45	1.2019	0.2071	1.2019	1.0963
No log	16.0	48	0.6843	0.4381	0.6843	0.8272
No log	17.0	51	0.6034	0.4364	0.6034	0.7768
No log	18.0	54	1.0064	0.3414	1.0064	1.0032
No log	19.0	57	0.6671	0.4654	0.6671	0.8167
No log	20.0	60	0.9786	0.3470	0.9786	0.9893
No log	21.0	63	0.8308	0.4250	0.8308	0.9115
No log	22.0	66	0.8386	0.4693	0.8386	0.9158
No log	23.0	69	0.7449	0.4670	0.7449	0.8631
No log	24.0	72	0.8464	0.4370	0.8464	0.9200
No log	25.0	75	0.7908	0.4714	0.7908	0.8893
No log	26.0	78	0.6576	0.5035	0.6576	0.8109
No log	27.0	81	1.1673	0.3021	1.1673	1.0804
No log	28.0	84	0.7125	0.4724	0.7125	0.8441
No log	29.0	87	1.1040	0.3290	1.1040	1.0507
No log	30.0	90	0.7233	0.4527	0.7233	0.8505
No log	31.0	93	0.9876	0.3933	0.9876	0.9938
No log	32.0	96	0.7857	0.4815	0.7857	0.8864
No log	33.0	99	1.0094	0.3789	1.0094	1.0047
No log	34.0	102	0.8518	0.3976	0.8518	0.9230
No log	35.0	105	0.8164	0.3351	0.8164	0.9036
No log	36.0	108	0.8066	0.3808	0.8066	0.8981
No log	37.0	111	0.9732	0.3267	0.9732	0.9865
No log	38.0	114	0.7329	0.4538	0.7329	0.8561
No log	39.0	117	0.8169	0.4124	0.8169	0.9038
No log	40.0	120	0.9792	0.3481	0.9792	0.9896
No log	41.0	123	0.7280	0.4698	0.7280	0.8532

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial2BERT_AugV8_k3_task1_organization_sp010_lw060_fold0

Trial2BERT_AugV8_k3_task1_organization_sp010_lw060_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial2BERT_AugV8_k3_task1_organization_sp010_lw060_fold0