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
  • 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: reduce_lr_on_plateau
  • lr_scheduler_warmup_steps: 400
  • training_steps: 100000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Reassembly E3 Graph Edit Distance Norm Linker Graph Edit Distance Norm All Ligands Equal Poi Heavy Atoms Difference Norm Poi Graph Edit Distance Norm Linker Heavy Atoms Difference Linker Equal Poi Has Attachment Point(s) E3 Tanimoto Similarity Reassembly Nostereo E3 Graph Edit Distance Linker Has Attachment Point(s) E3 Heavy Atoms Difference Norm Linker Valid Poi Equal Linker Graph Edit Distance E3 Equal Num Fragments E3 Heavy Atoms Difference Poi Graph Edit Distance Has Three Substructures Heavy Atoms Difference Linker Tanimoto Similarity Poi Heavy Atoms Difference E3 Valid Poi Tanimoto Similarity Valid Heavy Atoms Difference Norm Tanimoto Similarity E3 Has Attachment Point(s) Has All Attachment Points Poi Valid Linker Heavy Atoms Difference Norm
0.0006 15.7822 80000 0.3655 0.5977 inf inf 0.5904 0.0477 inf 0.1988 0.8371 0.9528 0.0 0.6278 inf 0.9952 0.0221 0.9952 0.7851 inf 0.8250 2.9996 0.7440 inf 0.9994 5.9070 0.0 1.4796 0.9796 0.0 0.9315 0.0782 0.0 0.9796 0.9879 0.9528 -0.0014
0.0006 19.7278 100000 0.3751 0.5970 inf inf 0.5899 0.0419 inf 0.2883 0.8472 0.9510 0.0 0.6329 inf 0.9977 0.0037 0.9977 0.7890 23016997167138810478786188190104988023843767118069314732687360.0000 0.8240 3.0003 0.2737 inf 0.9996 4.7685 0.0 1.3950 0.9944 0.0 0.9450 0.0634 0.0 0.9944 0.9938 0.9510 0.0067

Framework versions

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