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	7.0828	0.0	7.0828	2.6614
No log	2.0	10	5.0337	0.0115	5.0337	2.2436
No log	3.0	15	2.9358	0.0	2.9358	1.7134
No log	4.0	20	1.4807	0.0316	1.4807	1.2168
No log	5.0	25	1.0849	0.0212	1.0849	1.0416
No log	6.0	30	0.8993	0.0906	0.8993	0.9483
No log	7.0	35	0.7771	0.3205	0.7771	0.8815
No log	8.0	40	0.6844	0.3230	0.6844	0.8273
No log	9.0	45	0.6430	0.3243	0.6430	0.8019
No log	10.0	50	0.6378	0.3431	0.6378	0.7986
No log	11.0	55	0.6941	0.2945	0.6941	0.8331
No log	12.0	60	0.6694	0.3734	0.6694	0.8182
No log	13.0	65	0.8616	0.3763	0.8616	0.9282
No log	14.0	70	0.6775	0.4313	0.6775	0.8231
No log	15.0	75	0.5692	0.4919	0.5692	0.7545
No log	16.0	80	0.9649	0.2756	0.9649	0.9823
No log	17.0	85	0.7177	0.4445	0.7177	0.8472
No log	18.0	90	0.6553	0.4662	0.6553	0.8095
No log	19.0	95	0.8372	0.3841	0.8372	0.9150
No log	20.0	100	0.6321	0.4500	0.6321	0.7951
No log	21.0	105	0.7812	0.3672	0.7812	0.8839
No log	22.0	110	0.7247	0.4006	0.7247	0.8513
No log	23.0	115	0.7236	0.3798	0.7236	0.8506
No log	24.0	120	0.8148	0.3489	0.8148	0.9027
No log	25.0	125	0.7721	0.4267	0.7721	0.8787
No log	26.0	130	0.7260	0.4062	0.7260	0.8520
No log	27.0	135	0.7200	0.4153	0.7200	0.8485
No log	28.0	140	0.7049	0.4484	0.7049	0.8396
No log	29.0	145	0.6856	0.4558	0.6856	0.8280
No log	30.0	150	0.8866	0.2703	0.8866	0.9416

genki10/BERT_AugV8_k7_task1_organization_sp010_lw050_fold0

BERT_AugV8_k7_task1_organization_sp010_lw050_fold0