Training Loss	Epoch	Step	Validation Loss	Accuracy
12.0315	0.02	500	11.6840	0.0
11.0675	0.05	1000	8.9471	0.0226
8.6646	0.07	1500	8.0093	0.0344
8.3625	0.09	2000	7.9624	0.0274
8.2467	0.12	2500	7.6599	0.0376
7.9714	0.14	3000	7.6716	0.0316
7.9852	0.16	3500	7.4535	0.0385
7.7502	0.19	4000	7.4293	0.0429
7.7016	0.21	4500	7.3576	0.0397
7.5789	0.23	5000	7.3124	0.0513
7.4141	0.25	5500	7.1353	0.0634
7.2365	0.28	6000	6.8600	0.0959
7.0725	0.3	6500	6.5743	0.1150
6.934	0.32	7000	6.3674	0.1415
6.7219	0.35	7500	6.3467	0.1581
6.5039	0.37	8000	6.1312	0.1815
6.3096	0.39	8500	5.9080	0.2134
6.1835	0.42	9000	5.8414	0.2137
6.0939	0.44	9500	5.5137	0.2553
6.0457	0.46	10000	5.5881	0.2545
5.8851	0.49	10500	5.5134	0.2497
5.7277	0.51	11000	5.3023	0.2699
5.6183	0.53	11500	5.0074	0.3019
5.4978	0.56	12000	5.1822	0.2814
5.5916	0.58	12500	5.1211	0.2808
5.4749	0.6	13000	4.9126	0.2972
5.3765	0.62	13500	5.0468	0.2899
5.3529	0.65	14000	4.8160	0.3037
5.2993	0.67	14500	4.8598	0.3141
5.2929	0.69	15000	4.9669	0.3052
5.2649	0.72	15500	4.7849	0.3270
5.162	0.74	16000	4.6819	0.3357
5.1639	0.76	16500	4.6056	0.3275
5.1245	0.79	17000	4.5473	0.3311
5.1596	0.81	17500	4.7008	0.3212
5.1346	0.83	18000	4.7932	0.3192
5.1174	0.86	18500	4.7624	0.3208
5.1152	0.88	19000	4.6388	0.3274
5.0852	0.9	19500	4.5247	0.3305
5.0564	0.93	20000	4.6982	0.3161
5.0179	0.95	20500	4.5363	0.3389
5.07	0.97	21000	4.6647	0.3307
5.0781	1.0	21500	4.4729	0.3510

domenicrosati/deberta-v3-large-dapt-scientific-papers-pubmed

deberta-v3-large-dapt-scientific-papers-pubmed