Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.5227	0.07	25	0.5550	0.7765	0.2320	0.1321	0.9545
0.6695	0.14	50	0.5736	0.7315	0.5640	0.6792	0.4821
0.5501	0.22	75	0.5333	0.7621	0.5595	0.5912	0.5311
0.5193	0.29	100	0.4489	0.8119	0.48	0.3396	0.8182
0.5462	0.36	125	0.3952	0.8392	0.6269	0.5283	0.7706
0.4863	0.43	150	0.4829	0.8232	0.6541	0.6541	0.6541
0.4607	0.5	175	0.4429	0.8360	0.5641	0.4151	0.88
0.4302	0.58	200	0.4701	0.8103	0.6529	0.6981	0.6133
0.3965	0.65	225	0.5427	0.8071	0.6685	0.7610	0.5961
0.3838	0.72	250	0.4431	0.8296	0.6624	0.6541	0.6710
0.4917	0.79	275	0.6932	0.7203	0.6027	0.8302	0.4731
0.3751	0.86	300	0.4731	0.7781	0.6330	0.7484	0.5484
0.3926	0.94	325	0.4237	0.8424	0.6975	0.7107	0.6848
0.3654	1.01	350	0.3528	0.8521	0.7032	0.6855	0.7219
0.2255	1.08	375	0.6046	0.8392	0.6835	0.6792	0.6879
0.4107	1.15	400	0.4417	0.8569	0.6716	0.5723	0.8125
0.3405	1.22	425	0.4378	0.8376	0.6667	0.6352	0.7014
0.2532	1.3	450	0.5072	0.8264	0.6824	0.7296	0.6409
0.2366	1.37	475	0.5545	0.8232	0.6667	0.6918	0.6433
0.2102	1.44	500	0.5370	0.8633	0.6996	0.6226	0.7984
0.1455	1.51	525	0.6646	0.8553	0.6980	0.6541	0.7482
0.2918	1.59	550	0.6595	0.8296	0.6826	0.7170	0.6514
0.2585	1.66	575	0.6265	0.8392	0.6753	0.6541	0.6980
0.3427	1.73	600	0.5371	0.8376	0.6892	0.7044	0.6747
0.1538	1.8	625	0.6054	0.8585	0.6788	0.5849	0.8087
0.2565	1.87	650	0.5814	0.8601	0.6926	0.6164	0.7903
0.255	1.95	675	0.5811	0.8489	0.6968	0.6792	0.7152
0.2814	2.02	700	0.5238	0.8489	0.6846	0.6415	0.7338
0.0351	2.09	725	0.6550	0.8505	0.7010	0.6855	0.7171
0.0849	2.16	750	0.7147	0.8473	0.6780	0.6289	0.7353
0.145	2.23	775	0.8233	0.8344	0.7014	0.7610	0.6505
0.0889	2.31	800	0.7376	0.8505	0.7103	0.7170	0.7037
0.0968	2.38	825	0.7388	0.8521	0.6783	0.6101	0.7638
0.1507	2.45	850	0.7317	0.8537	0.6762	0.5975	0.7787
0.134	2.52	875	0.7362	0.8392	0.6795	0.6667	0.6928
0.1088	2.59	900	0.6987	0.8457	0.68	0.6415	0.7234
0.0854	2.67	925	0.7236	0.8553	0.6897	0.6289	0.7634
0.136	2.74	950	0.7118	0.8473	0.6844	0.6478	0.7254
0.0571	2.81	975	0.7155	0.8473	0.6780	0.6289	0.7353
0.1579	2.88	1000	0.7195	0.8521	0.6913	0.6478	0.7410
0.1093	2.95	1025	0.7146	0.8473	0.6780	0.6289	0.7353

Framework versions

Transformers 4.37.2
Pytorch 2.3.1
Datasets 2.19.1
Tokenizers 0.15.1

alenatz/biobert-biocause-trainer-oversample

biobert-biocause-trainer-oversample

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

alenatz/
biobert-biocause-trainer-oversample