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tanoManzo/
nucleotide-transformer-v2-100m-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC

Name: nucleotide-transformer-v2-100m-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC
Availability: InStock

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nucleotide-transformer-v2-100m-multi-species_ft_BioS73_1kbpHG19_DHSs_H3K27AC

This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-v2-100m-multi-species 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	F1 Score	Precision	Recall	Accuracy	Auc	Prc
0.4891	0.1864	500	0.4273	0.8394	0.7643	0.9309	0.8099	0.8996	0.8989
0.3821	0.3727	1000	0.3670	0.8630	0.8349	0.8932	0.8487	0.9225	0.9213
0.3759	0.5591	1500	0.3686	0.8642	0.8551	0.8736	0.8535	0.9258	0.9234
0.3672	0.7454	2000	0.3463	0.8709	0.8613	0.8806	0.8606	0.9289	0.9235
0.3466	0.9318	2500	0.3887	0.8699	0.7989	0.9546	0.8476	0.9331	0.9294
0.3271	1.1182	3000	0.3899	0.8735	0.8405	0.9092	0.8595	0.9359	0.9337
0.2984	1.3045	3500	0.3510	0.8782	0.8386	0.9218	0.8636	0.9342	0.9293
0.2989	1.4909	4000	0.3725	0.8709	0.8796	0.8624	0.8636	0.9313	0.9217
0.2963	1.6772	4500	0.4155	0.8778	0.8677	0.8883	0.8681	0.9362	0.9274
0.3041	1.8636	5000	0.3754	0.8804	0.8527	0.9099	0.8681	0.9369	0.9309
0.2487	2.0499	5500	0.5066	0.8743	0.8581	0.8911	0.8632	0.9312	0.9222
0.1986	2.2363	6000	0.5666	0.8786	0.8433	0.9169	0.8647	0.9242	0.9059
0.1841	2.4227	6500	0.6143	0.8664	0.8634	0.8694	0.8569	0.9317	0.9258