ailab-bio/PROTAC-Splitter-Trial-15

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: 0.0002
  • Valid: 1.0
  • Linker Equal: 0.9882
  • Linker Graph Edit Distance: 0.1158
  • Linker Tanimoto Similarity: 0.0
  • E3 Graph Edit Distance Norm: inf
  • Poi Graph Edit Distance: inf
  • E3 Has Attachment Point(s): 1.0
  • Has Three Substructures: 1.0
  • Reassembly: 0.9997
  • E3 Heavy Atoms Difference Norm: 0.0002
  • Linker Heavy Atoms Difference Norm: -0.0027
  • Linker Graph Edit Distance Norm: inf
  • E3 Tanimoto Similarity: 0.0
  • Poi Heavy Atoms Difference: 0.0124
  • Linker Valid: 1.0
  • Heavy Atoms Difference: -0.0001
  • Num Fragments: 3.0
  • All Ligands Equal: 0.9880
  • Has All Attachment Points: 1.0
  • E3 Graph Edit Distance: inf
  • Linker Has Attachment Point(s): 1.0
  • Poi Heavy Atoms Difference Norm: 0.0003
  • Heavy Atoms Difference Norm: -0.0000
  • Linker Heavy Atoms Difference: -0.0166
  • Tanimoto Similarity: 0.0
  • E3 Equal: 0.9951
  • Poi Valid: 1.0
  • E3 Valid: 1.0
  • Poi Tanimoto Similarity: 0.0
  • Poi Graph Edit Distance Norm: inf
  • Poi Equal: 0.9930
  • Poi Has Attachment Point(s): 1.0
  • E3 Heavy Atoms Difference: 0.0041
  • Reassembly Nostereo: 0.9997

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
  • train_batch_size: 128
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine_with_restarts
  • lr_scheduler_warmup_steps: 699
  • training_steps: 500000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step All Ligands Equal E3 Equal E3 Graph Edit Distance E3 Graph Edit Distance Norm E3 Has Attachment Point(s) E3 Heavy Atoms Difference E3 Heavy Atoms Difference Norm E3 Tanimoto Similarity E3 Valid Has All Attachment Points Has Three Substructures Heavy Atoms Difference Heavy Atoms Difference Norm Linker Equal Linker Graph Edit Distance Linker Graph Edit Distance Norm Linker Has Attachment Point(s) Linker Heavy Atoms Difference Linker Heavy Atoms Difference Norm Linker Tanimoto Similarity Linker Valid Validation Loss Num Fragments Poi Equal Poi Graph Edit Distance Poi Graph Edit Distance Norm Poi Has Attachment Point(s) Poi Heavy Atoms Difference Poi Heavy Atoms Difference Norm Poi Tanimoto Similarity Poi Valid Reassembly Reassembly Nostereo Tanimoto Similarity Valid
0.0008 6.5543 70000 0.9846 0.9935 inf inf 1.0 0.0063 0.0003 0.0 1.0 1.0 1.0 -0.0009 -0.0000 0.9859 0.1331 inf 1.0 -0.0189 -0.0030 0.0 1.0 0.0003 3.0 0.9915 inf inf 1.0 0.0118 0.0002 0.0 1.0 0.9976 0.9978 0.0 1.0
0.0011 7.4906 80000 0.9849 0.9937 inf inf 1.0 0.0048 0.0002 0.0 1.0 1.0 1.0 0.0326 0.0003 0.9869 inf inf 1.0 -0.0146 -0.0026 0.0 1.0 0.0004 3.0 0.9916 inf inf 0.9998 0.0318 0.0005 0.0 0.9998 0.9968 0.9968 0.0 0.9998
0.0006 8.4270 90000 0.9864 0.9938 inf inf 1.0 0.0047 0.0002 0.0 1.0 1.0 1.0 0.0009 0.0000 0.9867 inf inf 1.0 -0.0003 -0.0018 0.0 1.0 0.0003 3.0 0.9925 inf inf 1.0 -0.0036 -0.0005 0.0 1.0 0.9990 0.9990 0.0 1.0
0.0005 9.3633 100000 0.9874 0.9944 inf inf 1.0 0.0068 0.0003 0.0 1.0 1.0 1.0 0.0 -0.0000 0.9878 0.1165 inf 1.0 -0.0186 -0.0023 0.0 1.0 0.0003 3.0 0.9928 inf inf 1.0 0.0118 0.0003 0.0 1.0 0.9991 0.9991 0.0 1.0
0.0004 32.7715 350000 0.0002 1.0 0.9888 0.1068 0.0 inf inf 1.0 1.0 0.9996 0.0003 -0.0037 inf 0.0 0.0260 1.0 0.0004 3.0 0.9886 1.0 inf 1.0 0.0009 0.0000 -0.0323 0.0 0.9949 1.0 1.0 0.0 inf 0.9937 1.0 0.0066 0.9996
0.0003 33.7079 360000 0.0002 1.0 0.9880 0.1166 0.0 inf inf 1.0 1.0 0.9994 0.0002 -0.0030 inf 0.0 0.0190 1.0 0.0021 3.0 0.9877 1.0 inf 1.0 0.0005 0.0000 -0.0203 0.0 0.9948 1.0 1.0 0.0 inf 0.9930 1.0 0.0034 0.9994
0.0003 34.6442 370000 0.0002 1.0 0.9880 inf 0.0 inf inf 1.0 1.0 0.9995 0.0002 -0.0026 inf 0.0 0.0116 1.0 -0.0012 3.0 0.9879 1.0 inf 1.0 0.0003 -0.0000 -0.0175 0.0 0.9953 1.0 1.0 0.0 inf 0.9927 1.0 0.0047 0.9995
0.0003 35.5805 380000 0.0002 1.0 0.9884 inf 0.0 inf inf 1.0 1.0 0.9997 0.0002 -0.0032 inf 0.0 0.0189 1.0 -0.0005 3.0 0.9883 1.0 inf 1.0 0.0005 -0.0000 -0.0239 0.0 0.9951 1.0 1.0 0.0 inf 0.9933 1.0 0.0045 0.9997
0.0003 36.5169 390000 0.0002 1.0 0.9890 0.1027 0.0 inf inf 1.0 1.0 0.9996 0.0002 -0.0030 inf 0.0 0.0237 1.0 -0.0002 3.0 0.9887 1.0 inf 1.0 0.0008 -0.0000 -0.0285 0.0 0.9950 1.0 1.0 0.0 inf 0.9936 1.0 0.0046 0.9996
0.0003 37.4532 400000 0.0002 1.0 0.9890 0.1059 0.0 inf inf 1.0 1.0 0.9995 0.0002 -0.0025 inf 0.0 0.0115 1.0 -0.0002 3.0 0.9887 1.0 inf 1.0 0.0002 -0.0000 -0.0148 0.0 0.9949 1.0 1.0 0.0 inf 0.9938 1.0 0.0031 0.9995
0.0003 38.3895 410000 0.0002 1.0 0.9885 0.1101 0.0 inf inf 1.0 1.0 0.9995 0.0002 -0.0033 inf 0.0 0.0214 1.0 -0.0002 3.0 0.9882 1.0 inf 1.0 0.0006 -0.0000 -0.0250 0.0 0.9950 1.0 1.0 0.0 inf 0.9930 1.0 0.0034 0.9995
0.0003 39.3258 420000 0.0002 0.9999 0.9887 inf 0.0 inf inf 1.0 1.0 0.9993 0.0002 -0.0026 inf 0.0 0.0184 1.0 0.0064 3.0 0.9881 1.0 inf 1.0 0.0005 0.0001 -0.0207 0.0 0.9950 0.9999 1.0 0.0 inf 0.9930 0.9999 0.0047 0.9993
0.0003 40.2622 430000 0.0002 1.0 0.9884 0.1125 0.0 inf inf 1.0 1.0 0.9999 0.0002 -0.0034 inf 0.0 0.0236 1.0 0.0 3.0 0.9883 1.0 0.0333 1.0 0.0007 0.0 -0.0272 0.0 0.9949 1.0 1.0 0.0 inf 0.9933 1.0 0.0036 0.9999
0.0003 41.1985 440000 0.0002 1.0 0.9882 0.1105 0.0 inf inf 1.0 1.0 0.9993 0.0002 -0.0032 0.0022 0.0 0.0229 1.0 -0.0008 3.0 0.9877 1.0 inf 1.0 0.0007 -0.0000 -0.0275 0.0 0.9943 1.0 1.0 0.0 inf 0.9930 1.0 0.0038 0.9994
0.0003 42.1348 450000 0.0002 1.0 0.9880 inf 0.0 inf inf 1.0 1.0 0.9994 0.0002 -0.0027 inf 0.0 0.0171 1.0 0.0009 3.0 0.9877 1.0 inf 1.0 0.0005 0.0000 -0.0201 0.0 0.9949 1.0 1.0 0.0 inf 0.9929 1.0 0.0039 0.9995
0.0003 43.0712 460000 0.0002 1.0 0.9883 0.1074 0.0 inf inf 1.0 1.0 0.9997 0.0002 -0.0033 inf 0.0 0.0244 1.0 0.0009 3.0 0.9882 1.0 inf 1.0 0.0008 0.0000 -0.0282 0.0 0.9950 1.0 1.0 0.0 inf 0.9930 1.0 0.0047 0.9997
0.0003 44.0075 470000 0.0002 1.0 0.9887 inf 0.0 inf inf 1.0 1.0 0.9994 0.0002 -0.0032 inf 0.0 0.0232 1.0 0.0009 3.0 0.9885 1.0 inf 1.0 0.0007 0.0000 -0.0272 0.0 0.9950 1.0 1.0 0.0 inf 0.9936 1.0 0.0049 0.9994
0.0003 44.9438 480000 0.0002 1.0 0.9892 inf 0.0 inf inf 1.0 1.0 0.9997 0.0002 -0.0037 inf 0.0 0.0295 1.0 -0.0001 3.0 0.9890 1.0 inf 1.0 0.0010 -0.0000 -0.0341 0.0 0.9951 1.0 1.0 0.0 inf 0.9938 1.0 0.0044 0.9997
0.0003 45.8801 490000 0.0002 1.0 0.9884 inf 0.0 inf inf 1.0 1.0 0.9997 0.0002 -0.0027 inf 0.0 0.0108 1.0 -0.0001 3.0 0.9882 1.0 inf 1.0 0.0002 -0.0000 -0.0148 0.0 0.9951 1.0 1.0 0.0 inf 0.9930 1.0 0.0040 0.9997
0.0003 46.8165 500000 0.0002 1.0 0.9882 0.1158 0.0 inf inf 1.0 1.0 0.9997 0.0002 -0.0027 inf 0.0 0.0124 1.0 -0.0001 3.0 0.9880 1.0 inf 1.0 0.0003 -0.0000 -0.0166 0.0 0.9951 1.0 1.0 0.0 inf 0.9930 1.0 0.0041 0.9997

Framework versions

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