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+ ---
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+ tags:
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+ - chemistry
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+ ---
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+
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+ # ChemGPT 1.2B
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+ ChemGPT is based on the GPT-Neo model and was introduced in the paper [Neural Scaling of Deep Chemical Models](https://chemrxiv.org/engage/chemrxiv/article-details/627bddd544bdd532395fb4b5).
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+
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+ ## Model description
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+ ChemGPT is a transformers model for generative molecular modeling, which was pretrained on the PubChem10M dataset.
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+
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+ ## Intended uses & limitations
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+
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+ ### How to use
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+ You can use this model directly from the 🤗/transformers library.
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+
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+ ### Limitations and bias
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+ This model was trained on a subset of molecules from PubChem. You can use this model to generate molecules, but it is mostly intended to be used for investigations of the effects of pre-training and fine-tuning on downstream datasets.
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+
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+ ## Training data
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+ PubChem10M, a dataset of SMILES strings from PubChem, available via [DeepChem](https://deepchemdata.s3-us-west-1.amazonaws.com/datasets/pubchem_10m.txt.zip).
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+
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+ ## Training procedure
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+
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+ ### Preprocessing
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+ SMILES strings were converted to SELFIES using version 1.0.4 of the SELFIES library.
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+
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+
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+ ### Pretraining
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+ See code in the [LitMatter repository](https://github.com/ncfrey/litmatter/blob/main/lit_models/lit_chemgpt.py).
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+
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+ ### BibTeX entry and citation info
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+ ```
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+ @article{frey_soklaski_axelrod_samsi_gomez-bombarelli_coley_gadepally_2022,
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+ place={Cambridge}, title={Neural Scaling of Deep Chemical Models},
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+ DOI={10.26434/chemrxiv-2022-3s512}, journal={ChemRxiv}, publisher={Cambridge Open Engage},
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+ author={Frey, Nathan and Soklaski, Ryan and Axelrod, Simon and Samsi, Siddharth and Gomez-Bombarelli, Rafael and Coley, Connor and Gadepally, Vijay},
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+ year={2022}} This content is a preprint and has not been peer-reviewed.
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+ ```
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+
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+ ```
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+ Frey, Nathan, Ryan Soklaski, Simon Axelrod, Siddharth Samsi, Rafael Gomez-Bombarelli, Connor Coley, and Vijay Gadepally.
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+ "Neural Scaling of Deep Chemical Models." ChemRxiv (2022). Print. This content is a preprint and has not been peer-reviewed.
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+ ```