dnabert2_ft_BioS74_1kbpHG19_DHSs_H3K27AC_one_shot

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

  • Loss: 0.9243
  • F1 Score: 0.7778
  • Precision: 0.875
  • Recall: 0.7
  • Accuracy: 0.7895
  • Auc: 0.8806
  • Prc: 0.8455

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss F1 Score Precision Recall Accuracy Auc Prc
0.4504 13.1579 500 0.9243 0.7778 0.875 0.7 0.7895 0.8806 0.8455

Framework versions

  • Transformers 4.46.0.dev0
  • Pytorch 2.4.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.20.0
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