A researcher is encountering difficulties training a GPT-like transformer model on a non-language dataset. Despite using standard hyperparameters like AdamW optimizer and a 1e-3 learning rate, the model fails to exhibit basic auto-regressive behavior and often gets stuck generating a single token. The researcher is seeking advice on potential tricks or insights into training such models, as it appears to be a challenging task. AI
IMPACT Highlights potential challenges in adapting transformer architectures to novel data types, indicating areas for further research.
RANK_REASON The cluster describes a researcher's attempt to train a GPT-like model on a non-language dataset and their subsequent difficulties, which falls under research challenges. [lever_c_demoted from research: ic=1 ai=1.0]
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