Published March 17, 2026
| Version 03-17-2026
Software
Open
BERTology of Molecular Property Prediction (Data Size Effect: Base-BERT, Part 3)
Authors/Creators
-
1.
Molecular Sciences Software Institute
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2.
Virginia Tech
Description
Data Size Effects on Pre-Training
Base-BERT (Part 3)
This record pertains to Data Size Effects on Pre-Training Experiments.It involves the following files:
- base-binidx-3-ms-1234-ds-1234.tar.gz
- base-binidx-3-ms-1234-ds-2345.tar.gz
- base-binidx-3-ms-2345-ds-1234.tar.gz
Each tar file contains all model artifacts (checkpoints, random-number generator states, optimizer states etc.), training logs (Tensorboard, MLFlow and Weights & Biases), and evaluation results, configuration files, run scripts, SLURM sbatch driver scripts, and any additional artifacts generated during the experiments.
Preprint: https://doi.org/10.48550/arXiv.2603.13627
Files
Files
(39.3 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:d177c03718dc8f3bc639f5b9c40061a5
|
13.1 GB | Download |
|
md5:dfe30e0a5dc12c15468eeaf5b0fa9093
|
13.1 GB | Download |
|
md5:953ca538746e0ee2bb9889e505292d4b
|
13.1 GB | Download |
Additional details
Software
- Repository URL
- https://github.com/molssi-ai/bertology
- Programming language
- Python
- Development Status
- Active