Initial version
Browse files- README.md +98 -0
- generation_config.json +10 -0
README.md
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---
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library_name: transformers
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license: mit
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base_model: seyonec/ChemBERTa-zinc-base-v1
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tags:
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- PROTAC
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- cheminformatics
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- generated_from_trainer
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model-index:
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- name: ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine_restarts-opt25
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ailab-bio/PROTAC-Splitter-EncoderDecoder-lr_cosine_restarts-opt25
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This model is a fine-tuned version of [seyonec/ChemBERTa-zinc-base-v1](https://huggingface.co/seyonec/ChemBERTa-zinc-base-v1) on the ailab-bio/PROTAC-Splitter-Dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3086
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- Poi Heavy Atoms Difference: 2.1208
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- E3 Valid: 0.9896
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- Poi Valid: 0.9272
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- Poi Has Attachment Point(s): 0.9272
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- All Ligands Equal: 0.5462
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- Valid: 0.9157
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- Reassembly: 0.5544
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- Poi Tanimoto Similarity: 0.0
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- Linker Tanimoto Similarity: 0.0
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- Poi Graph Edit Distance: inf
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- Linker Heavy Atoms Difference: 0.3144
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- Linker Graph Edit Distance Norm: inf
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- E3 Graph Edit Distance Norm: inf
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- Num Fragments: 2.9998
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- E3 Heavy Atoms Difference Norm: 0.0131
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- Linker Valid: 0.9961
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- E3 Heavy Atoms Difference: 0.5553
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- E3 Tanimoto Similarity: 0.0
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- Poi Heavy Atoms Difference Norm: 0.0719
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- Reassembly Nostereo: 0.5796
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- Linker Equal: 0.7666
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- Linker Has Attachment Point(s): 0.9961
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- Has All Attachment Points: 0.9836
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- Poi Equal: 0.7680
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- E3 Graph Edit Distance: inf
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- Tanimoto Similarity: 0.0
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- E3 Has Attachment Point(s): 0.9896
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- Poi Graph Edit Distance Norm: inf
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- E3 Equal: 0.8045
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- Heavy Atoms Difference Norm: 0.0939
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- Has Three Substructures: 0.9991
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- Linker Graph Edit Distance: inf
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- Heavy Atoms Difference: 7.0102
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- Linker Heavy Atoms Difference Norm: 0.0033
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 128
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine_with_restarts
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- lr_scheduler_warmup_steps: 100
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- training_steps: 10000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Poi Heavy Atoms Difference | E3 Valid | Poi Valid | Poi Has Attachment Point(s) | All Ligands Equal | Valid | Reassembly | Poi Tanimoto Similarity | Linker Tanimoto Similarity | Poi Graph Edit Distance | Linker Heavy Atoms Difference | Linker Graph Edit Distance Norm | E3 Graph Edit Distance Norm | Num Fragments | E3 Heavy Atoms Difference Norm | Linker Valid | E3 Heavy Atoms Difference | E3 Tanimoto Similarity | Poi Heavy Atoms Difference Norm | Reassembly Nostereo | Linker Equal | Linker Has Attachment Point(s) | Has All Attachment Points | Poi Equal | E3 Graph Edit Distance | Tanimoto Similarity | E3 Has Attachment Point(s) | Poi Graph Edit Distance Norm | E3 Equal | Heavy Atoms Difference Norm | Has Three Substructures | Linker Graph Edit Distance | Heavy Atoms Difference | Linker Heavy Atoms Difference Norm |
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|:-------------:|:------:|:-----:|:---------------:|:--------------------------:|:--------:|:---------:|:---------------------------:|:-----------------:|:------:|:----------:|:-----------------------:|:--------------------------:|:-----------------------:|:-----------------------------:|:-------------------------------:|:---------------------------:|:-------------:|:------------------------------:|:------------:|:-------------------------:|:----------------------:|:-------------------------------:|:-------------------:|:------------:|:------------------------------:|:-------------------------:|:---------:|:----------------------:|:-------------------:|:--------------------------:|:----------------------------:|:--------:|:---------------------------:|:-----------------------:|:-------------------------------------------------------------------:|:----------------------:|:----------------------------------:|
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| 0.0156 | 0.4932 | 5000 | 0.2891 | 2.3129 | 0.9916 | 0.9252 | 0.9252 | 0.4596 | 0.9169 | 0.4665 | 0.0 | 0.0 | inf | 0.3805 | inf | inf | 3.0006 | 0.0061 | 0.9965 | 0.3913 | 0.0 | 0.0739 | 0.4911 | 0.6623 | 0.9965 | 0.9863 | 0.7265 | inf | 0.0 | 0.9916 | inf | 0.7815 | 0.0918 | 0.9988 | 35410764872521246890440289523238443113605795566260484204134400.0000 | 7.0030 | 0.0005 |
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| 0.0077 | 0.7398 | 7500 | 0.3073 | 2.5750 | 0.9857 | 0.9161 | 0.9161 | 0.4898 | 0.8987 | 0.4975 | 0.0 | 0.0 | inf | 0.4483 | inf | inf | 3.0002 | 0.0088 | 0.9943 | 0.4845 | 0.0 | 0.0832 | 0.5220 | 0.7095 | 0.9943 | 0.9812 | 0.7363 | inf | 0.0 | 0.9857 | inf | 0.7908 | 0.1093 | 0.9995 | 56657223796033995024704463237181508981769272906016774726615040.0000 | 8.2839 | 0.0090 |
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| 0.0046 | 0.9864 | 10000 | 0.3086 | 2.1208 | 0.9896 | 0.9272 | 0.9272 | 0.5462 | 0.9157 | 0.5544 | 0.0 | 0.0 | inf | 0.3144 | inf | inf | 2.9998 | 0.0131 | 0.9961 | 0.5553 | 0.0 | 0.0719 | 0.5796 | 0.7666 | 0.9961 | 0.9836 | 0.7680 | inf | 0.0 | 0.9896 | inf | 0.8045 | 0.0939 | 0.9991 | inf | 7.0102 | 0.0033 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"bos_token_id": 0,
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"do_sample": true,
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"eos_token_id": 2,
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"max_length": 512,
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"num_beams": 5,
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"pad_token_id": 1,
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"top_k": 20,
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"transformers_version": "4.44.2"
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}
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