Training Loss	Epoch	Step	Validation Loss
1.1503	0.11	500	1.3369
1.3766	0.21	1000	1.2721
1.3523	0.32	1500	1.2516
1.3123	0.43	2000	1.2394
1.1954	0.54	2500	1.2265
1.226	0.64	3000	1.2182
1.1269	0.75	3500	1.2118
1.212	0.86	4000	1.2053
1.3253	0.96	4500	1.1984
1.0722	1.07	5000	1.2016
1.1208	1.18	5500	1.2009
1.132	1.28	6000	1.1992
1.1228	1.39	6500	1.1967
1.1529	1.5	7000	1.1918
1.0342	1.61	7500	1.1916
1.0881	1.71	8000	1.1889
1.084	1.82	8500	1.1852
1.1409	1.93	9000	1.1807
0.9794	2.03	9500	1.2098
0.9821	2.14	10000	1.2146
0.9695	2.25	10500	1.2096
0.9866	2.35	11000	1.2088
1.0305	2.46	11500	1.2059
0.9532	2.57	12000	1.2060
0.9978	2.68	12500	1.2041
1.0013	2.78	13000	1.2006
1.0401	2.89	13500	1.2023
1.0899	3.0	14000	1.1988
0.8229	3.1	14500	1.2410
0.8598	3.21	15000	1.2420
0.9295	3.32	15500	1.2414
0.8477	3.43	16000	1.2386
0.9302	3.53	16500	1.2382
0.8284	3.64	17000	1.2374
0.8242	3.75	17500	1.2410
0.8422	3.85	18000	1.2346
0.8742	3.96	18500	1.2362
0.798	4.07	19000	1.2667
0.7821	4.17	19500	1.2701
0.7788	4.28	20000	1.2714
0.7701	4.39	20500	1.2702
0.7348	4.5	21000	1.2722
0.762	4.6	21500	1.2705
0.7385	4.71	22000	1.2705
0.7837	4.82	22500	1.2695
0.8371	4.92	23000	1.2703

gayanin/ec-biogpt-noised-pubmed-v2

ec-biogpt-noised-pubmed-v2