Brizape/Variome_0.0001_0404_ES6 - AI Model Zoo

Variome_0.0001_0404_ES6

This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.4714	0.13	25	0.1791	0.0	0.0	0.0	0.9759
0.1531	0.26	50	0.1271	0.0	0.0	0.0	0.9759
0.1288	0.39	75	0.1253	0.2032	0.0864	0.1212	0.9770
0.1253	0.52	100	0.1143	0.425	0.0163	0.0314	0.9762
0.101	0.65	125	0.1124	0.3438	0.1574	0.2159	0.9780
0.1062	0.79	150	0.1014	0.3569	0.2860	0.3175	0.9793
0.092	0.92	175	0.0986	0.4274	0.3081	0.3581	0.9805
0.0702	1.05	200	0.0942	0.5349	0.3234	0.4031	0.9810
0.0881	1.18	225	0.1009	0.3379	0.3580	0.3476	0.9765
0.0866	1.31	250	0.0780	0.5453	0.4155	0.4717	0.9830
0.0751	1.44	275	0.0749	0.5157	0.5038	0.5097	0.9830
0.0679	1.57	300	0.0732	0.5401	0.5432	0.5416	0.9835
0.0625	1.7	325	0.0728	0.6411	0.4491	0.5282	0.9842
0.065	1.83	350	0.0737	0.6115	0.4683	0.5304	0.9839
0.051	1.96	375	0.0720	0.5928	0.5240	0.5563	0.9840
0.0503	2.09	400	0.0669	0.6124	0.5489	0.5789	0.9854
0.0464	2.23	425	0.0718	0.625	0.5278	0.5723	0.9847
0.0528	2.36	450	0.0763	0.6628	0.4395	0.5286	0.9838
0.0473	2.49	475	0.0706	0.6109	0.5393	0.5729	0.9848
0.0542	2.62	500	0.0657	0.6159	0.5432	0.5773	0.9845
0.0508	2.75	525	0.0686	0.6515	0.5653	0.6053	0.9848
0.0476	2.88	550	0.0631	0.6857	0.5528	0.6121	0.9860
0.049	3.01	575	0.0689	0.6008	0.5720	0.5860	0.9842
0.0378	3.14	600	0.0720	0.6674	0.5605	0.6093	0.9854
0.0417	3.27	625	0.0695	0.6248	0.6104	0.6175	0.9852
0.0306	3.4	650	0.0723	0.6780	0.5537	0.6096	0.9860
0.0341	3.53	675	0.0664	0.6651	0.5547	0.6049	0.9862
0.0392	3.66	700	0.0656	0.6474	0.5691	0.6057	0.9854