Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	D-index
0.4153	1.0	1500	0.3934	0.8279	0.7013	0.2610	0.3804	1.5630
0.3682	2.0	3000	0.3595	0.8448	0.6802	0.4405	0.5347	1.6439
0.3509	3.0	4500	0.3559	0.847	0.7258	0.3923	0.5094	1.6314
0.3266	4.0	6000	0.3545	0.8484	0.7335	0.3944	0.5130	1.6339
0.2927	5.0	7500	0.3728	0.8519	0.7251	0.4323	0.5417	1.6506
0.265	6.0	9000	0.3836	0.8511	0.7019	0.4594	0.5554	1.6581
0.2284	7.0	10500	0.4332	0.8477	0.6611	0.5076	0.5743	1.6688
0.1903	8.0	12000	0.4834	0.8452	0.6970	0.4166	0.5215	1.6368
0.1527	9.0	13500	0.5702	0.8413	0.6809	0.4068	0.5093	1.6285
0.1296	10.0	15000	0.5942	0.8374	0.6585	0.4088	0.5044	1.6240
0.1158	11.0	16500	0.7754	0.8408	0.6680	0.4249	0.5194	1.6336
0.1054	12.0	18000	0.7936	0.8357	0.6062	0.5368	0.5694	1.6622
0.0879	13.0	19500	1.0568	0.8317	0.6971	0.2985	0.4180	1.5806
0.0834	14.0	21000	0.9730	0.8377	0.6393	0.4545	0.5313	1.6389
0.0744	15.0	22500	1.0385	0.8358	0.6390	0.4343	0.5172	1.6301
0.0675	16.0	24000	1.1625	0.8353	0.6305	0.4496	0.5249	1.6342
0.065	17.0	25500	1.2138	0.8325	0.6546	0.3652	0.4688	1.6034
0.0539	18.0	27000	1.2701	0.8334	0.6754	0.3409	0.4531	1.5967
0.0479	19.0	28500	1.2759	0.8367	0.6303	0.4681	0.5372	1.6420
0.0503	20.0	30000	1.3342	0.8342	0.6462	0.3993	0.4936	1.6166

wiorz/legal_bert_sm_gen1_large

legal_bert_sm_gen1_large