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	4	7.5924	0.0	7.5924	2.7554
No log	2.0	8	5.8018	0.0177	5.8018	2.4087
No log	3.0	12	4.1328	0.0039	4.1328	2.0329
No log	4.0	16	2.5332	0.0294	2.5332	1.5916
No log	5.0	20	1.4868	0.0316	1.4868	1.2193
No log	6.0	24	1.1604	0.0316	1.1604	1.0772
No log	7.0	28	1.3740	0.0382	1.3740	1.1722
No log	8.0	32	1.3923	0.0316	1.3923	1.1800
No log	9.0	36	0.9050	0.1422	0.9050	0.9513
No log	10.0	40	0.8763	0.3087	0.8763	0.9361
No log	11.0	44	0.6727	0.3362	0.6727	0.8202
No log	12.0	48	0.6674	0.3388	0.6674	0.8169
No log	13.0	52	0.8454	0.3454	0.8454	0.9195
No log	14.0	56	0.6334	0.3989	0.6334	0.7959
No log	15.0	60	0.8990	0.2850	0.8990	0.9481
No log	16.0	64	0.6145	0.3821	0.6145	0.7839
No log	17.0	68	0.7689	0.3892	0.7689	0.8769
No log	18.0	72	0.6775	0.3366	0.6775	0.8231
No log	19.0	76	0.6591	0.4107	0.6591	0.8119
No log	20.0	80	0.7391	0.3255	0.7391	0.8597
No log	21.0	84	1.0409	0.2258	1.0409	1.0203
No log	22.0	88	0.6976	0.4190	0.6976	0.8353
No log	23.0	92	0.8163	0.3392	0.8163	0.9035
No log	24.0	96	1.1217	0.1278	1.1217	1.0591
No log	25.0	100	0.7682	0.3754	0.7682	0.8765
No log	26.0	104	0.7861	0.3651	0.7861	0.8866
No log	27.0	108	0.8624	0.3175	0.8624	0.9286
No log	28.0	112	0.9782	0.3048	0.9782	0.9890
No log	29.0	116	0.8124	0.3631	0.8124	0.9014
No log	30.0	120	0.8302	0.3488	0.8302	0.9111
No log	31.0	124	0.8155	0.3371	0.8155	0.9030
No log	32.0	128	0.8505	0.3141	0.8505	0.9222
No log	33.0	132	0.9313	0.2945	0.9313	0.9650
No log	34.0	136	0.8716	0.3229	0.8716	0.9336
No log	35.0	140	0.8836	0.3115	0.8836	0.9400
No log	36.0	144	0.8106	0.3320	0.8106	0.9003
No log	37.0	148	0.9399	0.2275	0.9399	0.9695

genki10/BERT_AugV8_k5_task1_organization_sp040_lw030_fold0

BERT_AugV8_k5_task1_organization_sp040_lw030_fold0