You can deploy this model and start earning money today!

tanoManzo/
hyenadna-medium-160k-seqlen-hf_ft_BioS74_1kbpHG19_DHSs_H3K27AC

Name: hyenadna-medium-160k-seqlen-hf_ft_BioS74_1kbpHG19_DHSs_H3K27AC
Availability: InStock

Views

No views yet

hyenadna-medium-160k-seqlen-hf_ft_BioS74_1kbpHG19_DHSs_H3K27AC

This model is a fine-tuned version of LongSafari/hyenadna-medium-160k-seqlen-hf on the None dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	F1 Score	Precision	Recall	Accuracy	Auc	Prc
0.5267	0.2629	500	0.5052	0.7949	0.7217	0.8845	0.7610	0.8388	0.8271
0.4964	0.5258	1000	0.4897	0.8056	0.7396	0.8845	0.7765	0.8521	0.8426
0.4785	0.7886	1500	0.4884	0.7995	0.7445	0.8634	0.7733	0.8476	0.8381
0.4832	1.0515	2000	0.4976	0.7558	0.8218	0.6996	0.7633	0.8533	0.8447
0.4791	1.3144	2500	0.4609	0.8093	0.7729	0.8493	0.7904	0.8610	0.8524
0.4689	1.5773	3000	0.4708	0.8111	0.7515	0.8810	0.7852	0.8573	0.8473
0.4551	1.8402	3500	0.5023	0.7901	0.8097	0.7715	0.7854	0.8595	0.8516
0.4582	2.1030	4000	0.4577	0.8103	0.7932	0.8282	0.7970	0.8665	0.8588
0.4454	2.3659	4500	0.4642	0.7885	0.8211	0.7584	0.7870	0.8676	0.8615
0.4377	2.6288	5000	0.4498	0.8128	0.7897	0.8373	0.7981	0.8701	0.8635
0.4429	2.8917	5500	0.4641	0.8148	0.7934	0.8373	0.8007	0.8711	0.8665
0.4318	3.1546	6000	0.4613	0.8111	0.7386	0.8995	0.7807	0.8683	0.8628
0.4197	3.4175	6500	0.4501	0.8150	0.7669	0.8694	0.7933	0.8703	0.8672
0.4288	3.6803	7000	0.4610	0.8203	0.7660	0.8830	0.7975	0.8699	0.8599
0.4188	3.9432	7500	0.4724	0.7931	0.7988	0.7875	0.7849	0.8674	0.8614
0.3852	4.2061	8000	0.4710	0.8030	0.8004	0.8056	0.7931	0.8678	0.8623
0.3917	4.4690	8500	0.4677	0.8057	0.7809	0.8322	0.7899	0.8679	0.8630
0.4019	4.7319	9000	0.4612	0.8114	0.7706	0.8569	0.7915	0.8705	0.8641
0.3957	4.9947	9500	0.4543	0.8085	0.7861	0.8322	0.7936	0.8675	0.8619