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	8.5226	0.0	8.5211	2.9191
No log	2.0	10	5.9677	0.0460	5.9663	2.4426
No log	3.0	15	2.8983	0.0	2.8976	1.7022
No log	4.0	20	1.5678	0.0329	1.5672	1.2519
No log	5.0	25	1.0168	0.0102	1.0164	1.0082
No log	6.0	30	1.2634	-0.0802	1.2627	1.1237
No log	7.0	35	1.1419	-0.1370	1.1414	1.0684
No log	8.0	40	0.9378	0.1969	0.9376	0.9683
No log	9.0	45	0.8373	0.2390	0.8378	0.9153
No log	10.0	50	0.7978	0.1891	0.7982	0.8934
No log	11.0	55	0.9112	0.1334	0.9118	0.9549
No log	12.0	60	0.9479	0.1782	0.9486	0.9740
No log	13.0	65	0.8228	0.3284	0.8234	0.9074
No log	14.0	70	0.8810	0.3333	0.8813	0.9388
No log	15.0	75	1.2351	0.2711	1.2346	1.1111
No log	16.0	80	0.7942	0.4176	0.7943	0.8912
No log	17.0	85	0.8748	0.3476	0.8750	0.9354
No log	18.0	90	0.9380	0.3011	0.9382	0.9686
No log	19.0	95	0.9640	0.2769	0.9640	0.9819
No log	20.0	100	1.2429	0.2107	1.2426	1.1147
No log	21.0	105	0.9113	0.3508	0.9119	0.9549
No log	22.0	110	0.9805	0.2555	0.9805	0.9902
No log	23.0	115	1.0240	0.2796	1.0239	1.0119
No log	24.0	120	0.7915	0.3559	0.7919	0.8899
No log	25.0	125	1.2118	0.1643	1.2115	1.1007
No log	26.0	130	0.8650	0.2518	0.8651	0.9301
No log	27.0	135	0.8165	0.2861	0.8168	0.9038
No log	28.0	140	0.8470	0.2965	0.8472	0.9204
No log	29.0	145	1.0044	0.2382	1.0043	1.0022
No log	30.0	150	1.0532	0.2343	1.0529	1.0261
No log	31.0	155	0.9444	0.2736	0.9442	0.9717

genki10/BERT_AugV8_k7_task1_organization_sp010_lw040_fold3

BERT_AugV8_k7_task1_organization_sp010_lw040_fold3