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 Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	5	7.0758	0.0	7.0758	2.6600
No log	2.0	10	4.8841	0.0115	4.8841	2.2100
No log	3.0	15	2.7298	0.0	2.7298	1.6522
No log	4.0	20	1.4186	0.0316	1.4186	1.1911
No log	5.0	25	0.8987	0.0452	0.8987	0.9480
No log	6.0	30	0.8594	0.1862	0.8594	0.9270
No log	7.0	35	0.8190	0.2761	0.8190	0.9050
No log	8.0	40	0.6680	0.3926	0.6680	0.8173
No log	9.0	45	0.7299	0.4322	0.7299	0.8544
No log	10.0	50	0.5593	0.4102	0.5593	0.7479
No log	11.0	55	0.5382	0.4507	0.5382	0.7336
No log	12.0	60	0.5466	0.4919	0.5466	0.7393
No log	13.0	65	0.7033	0.3847	0.7033	0.8386
No log	14.0	70	0.6270	0.4899	0.6270	0.7918
No log	15.0	75	0.6397	0.5163	0.6397	0.7998
No log	16.0	80	0.6488	0.4810	0.6488	0.8055
No log	17.0	85	1.0205	0.3088	1.0205	1.0102
No log	18.0	90	1.0031	0.3169	1.0031	1.0016
No log	19.0	95	0.8913	0.2777	0.8913	0.9441
No log	20.0	100	0.7919	0.3961	0.7919	0.8899
No log	21.0	105	0.8241	0.3582	0.8241	0.9078
No log	22.0	110	0.8568	0.3658	0.8568	0.9256
No log	23.0	115	0.7234	0.4477	0.7234	0.8505
No log	24.0	120	0.6987	0.4732	0.6987	0.8359
No log	25.0	125	0.7073	0.4439	0.7073	0.8410
No log	26.0	130	0.7267	0.3993	0.7267	0.8525
No log	27.0	135	0.7449	0.4391	0.7449	0.8631
No log	28.0	140	0.6844	0.4671	0.6844	0.8273
No log	29.0	145	0.8157	0.4533	0.8157	0.9032
No log	30.0	150	1.1291	0.2796	1.1291	1.0626

genki10/Trial3BERT_AugV8_k7_task1_organization_sp010_lw010_fold0

Trial3BERT_AugV8_k7_task1_organization_sp010_lw010_fold0