Training Loss	Epoch	Step	Validation Loss
1.9981	0.07	500	1.8163
1.7501	0.14	1000	1.7809
2.0623	0.22	1500	1.7638
1.8094	0.29	2000	1.7458
1.8711	0.36	2500	1.7326
1.6588	0.43	3000	1.7244
1.5469	0.5	3500	1.7153
1.6981	0.57	4000	1.7084
1.6728	0.65	4500	1.7025
1.8203	0.72	5000	1.6973
1.8318	0.79	5500	1.6924
1.6916	0.86	6000	1.6906
1.6369	0.93	6500	1.6816
1.4371	1.01	7000	1.6838
1.381	1.08	7500	1.6829
1.6214	1.15	8000	1.6846
1.6218	1.22	8500	1.6790
1.6278	1.29	9000	1.6788
1.4046	1.36	9500	1.6774
1.4866	1.44	10000	1.6728
1.4712	1.51	10500	1.6716
1.5896	1.58	11000	1.6702
1.4818	1.65	11500	1.6681
1.4261	1.72	12000	1.6638
1.5318	1.79	12500	1.6624
1.4814	1.87	13000	1.6620
1.5131	1.94	13500	1.6583
1.3971	2.01	14000	1.6806
1.4146	2.08	14500	1.6842
1.5739	2.15	15000	1.6888
1.312	2.23	15500	1.6857
1.4992	2.3	16000	1.6876
1.2725	2.37	16500	1.6845
1.3904	2.44	17000	1.6840
1.4569	2.51	17500	1.6855
1.4358	2.58	18000	1.6811
1.4747	2.66	18500	1.6814
1.3272	2.73	19000	1.6818
1.3743	2.8	19500	1.6756
1.3953	2.87	20000	1.6759
1.4173	2.94	20500	1.6748
1.3998	3.02	21000	1.7133
1.3396	3.09	21500	1.7205
1.1953	3.16	22000	1.7218
1.2047	3.23	22500	1.7223
1.0788	3.3	23000	1.7214
1.3048	3.37	23500	1.7230
1.3271	3.45	24000	1.7195
1.4236	3.52	24500	1.7208
1.1851	3.59	25000	1.7209
1.285	3.66	25500	1.7207
1.3013	3.73	26000	1.7174
1.2734	3.81	26500	1.7182
1.3496	3.88	27000	1.7168
1.3628	3.95	27500	1.7134
1.0063	4.02	28000	1.7507
1.1155	4.09	28500	1.7557
1.1886	4.16	29000	1.7571
1.1304	4.24	29500	1.7575
1.0328	4.31	30000	1.7563
1.2631	4.38	30500	1.7584
1.2212	4.45	31000	1.7564
1.1825	4.52	31500	1.7583
1.4374	4.6	32000	1.7562
1.1568	4.67	32500	1.7554
1.3035	4.74	33000	1.7565
1.27	4.81	33500	1.7557
1.2518	4.88	34000	1.7560
1.0965	4.95	34500	1.7552

gayanin/ec-biogpt-noised-pubmed-v3

ec-biogpt-noised-pubmed-v3