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--- |
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datasets: |
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- nilq/babylm-10M |
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language: |
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- en |
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--- |
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This autoregressive model belongs to a series of rather small language models trained on the [BabyLM](https://babylm.github) data: |
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- the [baby_llama](https://huggingface.co/bbunzeck/baby_llama) model has few parameters and was trained on a small data set (10M tokens) |
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- the [**t**eenie_llama](https://huggingface.co/bbunzeck/teenie_llama) model has the same number of parameters but was trained on more **t**okens of text (100M) |
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- the [**w**eenie_llama](https://huggingface.co/bbunzeck/weenie_llama) model was trained on the small data set, but has more parameters/**w**eights |
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- the [**tw**eenie_llama](https://huggingface.co/bbunzeck/tweenie_llama) model features both -- more **t**okens (the larger data set) and more **w**eights (*viz.* parameters) |
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| | baby_llama | teenie_llama | weenie_llama | tweenie_llama | |
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|-----------------|-----------|-------------|-------------|--------------| |
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| Parameters | 2.97M | 2.97M | 11.44M | 11.44M | |
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| hidden layers | 8 | 8 | 16 | 16 | |
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| Attention heads | 8 | 8 | 16 | 16 | |
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| Embedding size | 128 | 128 | 256 | 256 | |
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| Context size | 128 | 128 | 256 | 256 | |
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| Vocab size | 16k | 16k | 16k | 16k | |
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If you use this model in your research, please cite the following publication: |
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|
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``` |
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@inproceedings{bunzeck-zarriess-2024-fifty, |
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title = "Fifty shapes of {BL}i{MP}: syntactic learning curves in language models are not uniform, but sometimes unruly", |
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author = "Bunzeck, Bastian and |
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Zarrie{\ss}, Sina", |
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editor = "Qiu, Amy and |
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Noble, Bill and |
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Pagmar, David and |
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Maraev, Vladislav and |
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Ilinykh, Nikolai", |
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booktitle = "Proceedings of the 2024 CLASP Conference on Multimodality and Interaction in Language Learning", |
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month = oct, |
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year = "2024", |
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address = "Gothenburg, Sweden", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2024.clasp-1.7", |
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pages = "39--55", |
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} |
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``` |