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	7.6369	0.0	7.6370	2.7635
No log	2.0	12	4.0450	0.0039	4.0452	2.0113
No log	3.0	18	1.7688	0.0384	1.7691	1.3301
No log	4.0	24	0.9732	0.0107	0.9737	0.9867
No log	5.0	30	0.9563	0.0551	0.9568	0.9782
No log	6.0	36	0.8009	0.3478	0.8012	0.8951
No log	7.0	42	0.6249	0.4401	0.6251	0.7906
No log	8.0	48	0.7128	0.3146	0.7130	0.8444
No log	9.0	54	0.5047	0.5324	0.5046	0.7103
No log	10.0	60	0.5746	0.5459	0.5744	0.7579
No log	11.0	66	0.5139	0.6000	0.5135	0.7166
No log	12.0	72	0.5749	0.5367	0.5747	0.7581
No log	13.0	78	0.6016	0.5220	0.6014	0.7755
No log	14.0	84	0.7171	0.5061	0.7169	0.8467
No log	15.0	90	0.7686	0.4398	0.7685	0.8767
No log	16.0	96	0.7492	0.4411	0.7491	0.8655
No log	17.0	102	0.7970	0.4202	0.7969	0.8927
No log	18.0	108	0.7714	0.4086	0.7713	0.8782
No log	19.0	114	0.6552	0.4650	0.6550	0.8093
No log	20.0	120	0.9285	0.3815	0.9282	0.9635
No log	21.0	126	0.9003	0.3629	0.9000	0.9487
No log	22.0	132	0.7651	0.3982	0.7650	0.8746
No log	23.0	138	0.6998	0.4429	0.6996	0.8364
No log	24.0	144	0.8837	0.3608	0.8835	0.9399
No log	25.0	150	0.9471	0.3463	0.9469	0.9731
No log	26.0	156	0.8275	0.3951	0.8274	0.9096

genki10/BERT_AugV8_k10_task1_organization_sp020_lw010_fold2

BERT_AugV8_k10_task1_organization_sp020_lw010_fold2