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ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles-train-0.5

sourceHugging Facemitupdated 2y agoView on Hugging Face
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ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_reduce-rand-smiles-train-0.5

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: 0.3751
  • Reassembly: 0.5970
  • E3 Graph Edit Distance Norm: inf
  • Linker Graph Edit Distance Norm: inf
  • All Ligands Equal: 0.5899
  • Poi Heavy Atoms Difference Norm: 0.0419
  • Poi Graph Edit Distance Norm: inf
  • Linker Heavy Atoms Difference: 0.2883
  • Linker Equal: 0.8472
  • Poi Has Attachment Point(s): 0.9510
  • E3 Tanimoto Similarity: 0.0
  • Reassembly Nostereo: 0.6329
  • E3 Graph Edit Distance: inf
  • Linker Has Attachment Point(s): 0.9977
  • E3 Heavy Atoms Difference Norm: 0.0037
  • Linker Valid: 0.9977
  • Poi Equal: 0.7890
  • Linker Graph Edit Distance: 23016997167138810478786188190104988023843767118069314732687360.0000
  • E3 Equal: 0.8240
  • Num Fragments: 3.0003
  • E3 Heavy Atoms Difference: 0.2737
  • Poi Graph Edit Distance: inf
  • Has Three Substructures: 0.9996
  • Heavy Atoms Difference: 4.7685
  • Linker Tanimoto Similarity: 0.0
  • Poi Heavy Atoms Difference: 1.3950
  • E3 Valid: 0.9944
  • Poi Tanimoto Similarity: 0.0
  • Valid: 0.9450
  • Heavy Atoms Difference Norm: 0.0634
  • Tanimoto Similarity: 0.0
  • E3 Has Attachment Point(s): 0.9944
  • Has All Attachment Points: 0.9938
  • Poi Valid: 0.9510
  • Linker Heavy Atoms Difference Norm: 0.0067

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
  • lrschedulerwarmup_steps: 400
  • training_steps: 100000
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossReassemblyE3 Graph Edit Distance NormLinker Graph Edit Distance NormAll Ligands EqualPoi Heavy Atoms Difference NormPoi Graph Edit Distance NormLinker Heavy Atoms DifferenceLinker EqualPoi Has Attachment Point(s)E3 Tanimoto SimilarityReassembly NostereoE3 Graph Edit DistanceLinker Has Attachment Point(s)E3 Heavy Atoms Difference NormLinker ValidPoi EqualLinker Graph Edit DistanceE3 EqualNum FragmentsE3 Heavy Atoms DifferencePoi Graph Edit DistanceHas Three SubstructuresHeavy Atoms DifferenceLinker Tanimoto SimilarityPoi Heavy Atoms DifferenceE3 ValidPoi Tanimoto SimilarityValidHeavy Atoms Difference NormTanimoto SimilarityE3 Has Attachment Point(s)Has All Attachment PointsPoi ValidLinker Heavy Atoms Difference Norm
0.000615.7822800000.36550.5977infinf0.59040.0477inf0.19880.83710.95280.00.6278inf0.99520.02210.99520.7851inf0.82502.99960.7440inf0.99945.90700.01.47960.97960.00.93150.07820.00.97960.98790.9528-0.0014
0.000619.72781000000.37510.5970infinf0.58990.0419inf0.28830.84720.95100.00.6329inf0.99770.00370.99770.789023016997167138810478786188190104988023843767118069314732687360.00000.82403.00030.2737inf0.99964.76850.01.39500.99440.00.94500.06340.00.99440.99380.95100.0067

Framework versions

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