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	6	7.4313	0.0	7.4313	2.7260
No log	2.0	12	3.6013	0.0115	3.6013	1.8977
No log	3.0	18	1.6986	0.0316	1.6986	1.3033
No log	4.0	24	0.9131	0.0316	0.9131	0.9556
No log	5.0	30	1.0644	0.0316	1.0644	1.0317
No log	6.0	36	0.8812	0.2734	0.8812	0.9387
No log	7.0	42	0.6803	0.2544	0.6803	0.8248
No log	8.0	48	0.7000	0.2394	0.7000	0.8367
No log	9.0	54	0.6308	0.3140	0.6308	0.7942
No log	10.0	60	0.8023	0.3916	0.8023	0.8957
No log	11.0	66	0.8343	0.2668	0.8343	0.9134
No log	12.0	72	0.8174	0.3470	0.8174	0.9041
No log	13.0	78	0.7661	0.3462	0.7661	0.8753
No log	14.0	84	0.7804	0.3204	0.7804	0.8834
No log	15.0	90	0.7827	0.3487	0.7827	0.8847
No log	16.0	96	0.8387	0.2773	0.8387	0.9158
No log	17.0	102	0.7988	0.3365	0.7988	0.8937
No log	18.0	108	0.9128	0.2764	0.9128	0.9554
No log	19.0	114	1.0084	0.2167	1.0084	1.0042
No log	20.0	120	0.8961	0.2994	0.8961	0.9466
No log	21.0	126	0.8539	0.3164	0.8539	0.9241
No log	22.0	132	1.5281	0.1138	1.5281	1.2361
No log	23.0	138	0.7704	0.3647	0.7704	0.8777
No log	24.0	144	0.8241	0.2989	0.8241	0.9078
No log	25.0	150	0.8195	0.3276	0.8195	0.9053

genki10/Trial3BERT_AugV8_k10_task1_organization_sp010_lw020_fold0

Trial3BERT_AugV8_k10_task1_organization_sp010_lw020_fold0