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	8	4.2237	0.0	4.2217	2.0547
No log	2.0	16	1.6707	0.0211	1.6691	1.2919
No log	3.0	24	1.2260	0.0	1.2244	1.1065
No log	4.0	32	1.1897	0.0317	1.1882	1.0900
No log	5.0	40	0.8831	0.2562	0.8817	0.9390
No log	6.0	48	0.8511	0.2705	0.8502	0.9220
No log	7.0	56	0.6983	0.3850	0.6976	0.8352
No log	8.0	64	0.7430	0.4108	0.7423	0.8615
No log	9.0	72	0.8444	0.3431	0.8434	0.9184
No log	10.0	80	1.6521	0.1466	1.6503	1.2846
No log	11.0	88	1.5298	0.1968	1.5283	1.2362
No log	12.0	96	1.1716	0.2882	1.1703	1.0818
No log	13.0	104	1.1718	0.2768	1.1700	1.0817
No log	14.0	112	0.7075	0.4653	0.7065	0.8405
No log	15.0	120	1.0290	0.3518	1.0278	1.0138
No log	16.0	128	1.0799	0.3105	1.0785	1.0385
No log	17.0	136	0.9302	0.3719	0.9291	0.9639
No log	18.0	144	0.7742	0.4674	0.7737	0.8796
No log	19.0	152	1.7830	0.1788	1.7811	1.3346
No log	20.0	160	0.9281	0.3324	0.9268	0.9627
No log	21.0	168	0.9606	0.3058	0.9596	0.9796
No log	22.0	176	0.8963	0.3596	0.8952	0.9462
No log	23.0	184	1.1867	0.2416	1.1854	1.0888
No log	24.0	192	1.5653	0.2072	1.5638	1.2505
No log	25.0	200	1.1890	0.2555	1.1876	1.0898
No log	26.0	208	1.0807	0.2704	1.0794	1.0389
No log	27.0	216	1.1430	0.2388	1.1418	1.0686
No log	28.0	224	0.8452	0.3789	0.8442	0.9188
No log	29.0	232	1.1407	0.2451	1.1394	1.0674
No log	30.0	240	1.0145	0.3022	1.0133	1.0066
No log	31.0	248	0.9373	0.2928	0.9362	0.9676
No log	32.0	256	1.0264	0.2591	1.0252	1.0125
No log	33.0	264	1.1706	0.2270	1.1692	1.0813

genki10/BERT_AugV8_k10_task1_organization_sp060_lw010_fold1

BERT_AugV8_k10_task1_organization_sp060_lw010_fold1