BERTtime-Stories
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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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