DNABERT-2-117M_ft_BioS11_1kbpHG19_DHSs_H3K27AC

tanoManzo/DNABERT-2-117M_ft_BioS11_1kbpHG19_DHSs_H3K27AC

DNABERT-2-117M_ft_BioS11_1kbpHG19_DHSs_H3K27AC is a machine learning model from tanoManzo. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

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At a glance

Model type: bert
Access: Public
Created: Sep 23, 2024
Updated: Sep 23, 2024
SHA: 70e814ef

Base models

zhihan1996/DNABERT-2-117M

Model card

From the Hugging Face model README

DNABERT-2-117M_ft_BioS11_1kbpHG19_DHSs_H3K27AC

This model is a fine-tuned version of zhihan1996/DNABERT-2-117M on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4939
F1 Score: 0.7887
Precision: 0.7763
Recall: 0.8015
Accuracy: 0.7733

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Score	Precision	Recall	Accuracy
0.6014	1.1013	500	0.5175	0.7428	0.8134	0.6834	0.7501
0.506	2.2026	1000	0.4939	0.7887	0.7763	0.8015	0.7733

Framework versions

Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.18.0
Tokenizers 0.19.0

Type: bert
Created: Sep 23, 2024
Updated: Sep 23, 2024