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Keyword: causal language models ×Clear all

2 claims from 1 paper

1. Biochemistry, Genetics and Molecular Biology › Machine Learning in Bioinformatics

   Training Compute-Optimal Protein Language Models

   Cheng, Chen, Li, Gong, Tang and Le Song · arXiv (Cornell University) · 2024

   The authors trained over 300 protein language models on 939 million sequences to study how model size, training tokens and objective relate, derive scaling laws, and compare their predictions with ESM-2 and PROGEN2.

   Unchecked2 claims
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   1. Unchecked“Third, we observe a transfer scaling phenomenon from CLM to MLM, further demonstrating the effectiveness of transfer through scaling behaviors based on estimated Effectively Transferred Tokens.”
   2. UncheckedRepeating the Uniref protein database gave diminishing returns for causal language models and overfitting for masked language models.“First, we observed the effect of diminishing returns for the Causal Language Model (CLM) and that of overfitting for the Masked Language Model~(MLM) when repeating the commonly used Uniref database.”