vojtam/dnabert_genomic

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dnabert_genomic

This model is a fine-tuned version of zhihan1996/DNABERT-2-117M on Genomic_Benchmarks_human_enhancers_cohn. It achieves the following results on the evaluation set:

• —Loss: 0.4892
• —Accuracy: 0.7601

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: 1.8621576331491283e-05
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.46.2
• —Pytorch 2.2.1+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3