CoolFace
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tydymy/human_dna_classification

sourceHugging Facecc-by-nc-sa-4.0updated 3y agoView on Hugging Face
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Model Card

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human_classification

This model is a fine-tuned version of InstaDeepAI/nucleotide-transformer-500m-human-ref on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1830
  • Accuracy: 0.9589

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: 5e-05
  • trainbatchsize: 256
  • evalbatchsize: 256
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 1024
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
0.09241.06150.10740.9572
0.05872.012300.12170.9569
0.01373.018450.18300.9589

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1