tanoManzo/DNABERT-2-117M_ft_Hepg2_1kbpHG19_DHSs_H3K27AC

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DNABERT-2-117MftHepg21kbpHG19DHSs_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: 0.4809
• —F1 Score: 0.8080
• —Precision: 0.7661
• —Recall: 0.8546
• —Accuracy: 0.7770
• —Mcc Score: 0.5487
• —Roc Auc Score: 0.7686

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
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.42.3
• —Pytorch 2.3.0+cu121
• —Datasets 2.18.0
• —Tokenizers 0.19.0