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tanoManzo/hyenadna-large-1m-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot

sourceHugging Facebsd-3-clauseupdated 2y agoView on Hugging Face
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Model Card

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hyenadna-large-1m-seqlen-hfftBioS731kbpHG19DHSsH3K27ACone_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: 0.8818
  • —F1 Score: 0.6087
  • —Precision: 0.6364
  • —Recall: 0.5833
  • —Accuracy: 0.6667
  • —Auc: 0.7111
  • —Prc: 0.6621

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 20
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossF1 ScorePrecisionRecallAccuracyAucPrc
0.19418.51855000.88180.60870.63640.58330.66670.71110.6621

Framework versions

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