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BERTtime-Stories-10m-nucleus-1-balanced
nikitastheo/BERTtime-Stories-10m-nucleus-1-balanced
BERTtime-Stories-10m-nucleus-1-balanced is a fill-mask model from nikitastheo. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as gpl-3.0.
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…
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- gpl-3.0
- Model type
- ltgbert
- Access
- Public
- Created
- Sep 17, 2024
- Updated
- Sep 17, 2024
- SHA
- fdfc08b6
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Model card
From the Hugging Face model README
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.
- Task
- Fill-Mask
- Library
- transformers
- Type
- ltgbert
- License
- gpl-3.0
- Languages
- en
- Created
- Sep 17, 2024
- Updated
- Sep 17, 2024