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ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-opt25

sourceHugging Facemitupdated 2y agoView on Hugging Face
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ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-opt25

This model is a fine-tuned version of seyonec/ChemBERTa-zinc-base-v1 on the ailab-bio/PROTAC-Splitter-Dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3420
  • Num Fragments: 3.0002
  • Linker Heavy Atoms Difference: 0.1689
  • Linker Graph Edit Distance: 37181303116147309234962303999400365269286085344573508414341120.0000
  • Tanimoto Similarity: 0.0
  • Linker Tanimoto Similarity: 0.0
  • E3 Valid: 0.9732
  • Linker Has Attachment Point(s): 0.9963
  • Poi Equal: 0.7897
  • Heavy Atoms Difference: 8.0244
  • Poi Has Attachment Point(s): 0.9305
  • E3 Equal: 0.8302
  • Linker Graph Edit Distance Norm: inf
  • E3 Has Attachment Point(s): 0.9732
  • Has Three Substructures: 0.9995
  • Poi Heavy Atoms Difference Norm: 0.0690
  • Linker Equal: 0.8419
  • Heavy Atoms Difference Norm: 0.1076
  • E3 Heavy Atoms Difference: 1.0454
  • Poi Valid: 0.9305
  • Valid: 0.9027
  • Linker Heavy Atoms Difference Norm: -0.0046
  • Has All Attachment Points: 0.9796
  • E3 Graph Edit Distance: inf
  • Linker Valid: 0.9963
  • Poi Tanimoto Similarity: 0.0
  • Poi Graph Edit Distance Norm: inf
  • Poi Heavy Atoms Difference: 2.0482
  • Poi Graph Edit Distance: inf
  • Reassembly Nostereo: 0.6261
  • E3 Graph Edit Distance Norm: inf
  • E3 Heavy Atoms Difference Norm: 0.0335
  • Reassembly: 0.6073
  • All Ligands Equal: 0.5992
  • E3 Tanimoto Similarity: 0.0

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: 128
  • evalbatchsize: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: reducelron_plateau
  • training_steps: 100000
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossNum FragmentsLinker Heavy Atoms DifferenceLinker Graph Edit DistanceTanimoto SimilarityLinker Tanimoto SimilarityE3 ValidLinker Has Attachment Point(s)Poi EqualHeavy Atoms DifferencePoi Has Attachment Point(s)E3 EqualLinker Graph Edit Distance NormE3 Has Attachment Point(s)Has Three SubstructuresPoi Heavy Atoms Difference NormLinker EqualHeavy Atoms Difference NormE3 Heavy Atoms DifferencePoi ValidValidLinker Heavy Atoms Difference NormHas All Attachment PointsE3 Graph Edit DistanceLinker ValidPoi Tanimoto SimilarityPoi Graph Edit Distance NormPoi Heavy Atoms DifferencePoi Graph Edit DistanceReassembly NostereoE3 Graph Edit Distance NormE3 Heavy Atoms Difference NormReassemblyAll Ligands EqualE3 Tanimoto Similarity
0.00057.8911800000.33752.99940.2223inf0.00.00.97170.99610.78679.06050.91790.8268inf0.97170.99940.08130.83930.12110.90620.91790.88930.00190.9788inf0.99610.0inf2.4517820644475920679939503384490879847350906393395732940812913213440.00000.6211inf0.03340.60110.59360.0
0.00059.86391000000.34203.00020.168937181303116147309234962303999400365269286085344573508414341120.00000.00.00.97320.99630.78978.02440.93050.8302inf0.97320.99950.06900.84190.10761.04540.93050.9027-0.00460.9796inf0.99630.0inf2.0482inf0.6261inf0.03350.60730.59920.0

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1