hyenadna-large-1m-seqlen-hf_ft_BioS2_1kbpHG19_DHSs_H3K27AC_one_shot

This model is a fine-tuned version of LongSafari/hyenadna-large-1m-seqlen-hf on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5096
  • F1 Score: 0.7077
  • Precision: 0.7188
  • Recall: 0.6970
  • Accuracy: 0.6780
  • Auc: 0.7756
  • Prc: 0.8539

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
0.3955 8.3333 500 0.7579 0.7273 0.7273 0.7273 0.6949 0.8124 0.8780
0.0445 16.6667 1000 1.5096 0.7077 0.7188 0.6970 0.6780 0.7756 0.8539

Framework versions

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