This model uses the LTG-BERT architecture. The model was trained on a combination of the BabyLM Dataset, the TinyStories Dataset, and generated data, in accordance with the rules of the Stric-Small track, and the 10M word budget.

The model was trained with 128 token sequence length

Hyperparameters used and evaluation scores will follow in a subsequent update.

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Collection including nikitastheo/BERTtime-Stories-10m-nucleus-1-balanced

BERTtime-Stories

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10 items • Updated Oct 13, 2024 • 2