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# IPA CHILDES Models
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GPT-2 models trained on 11 of the
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All models have 5M non-embedding parameters and were trained on 1.8M tokens from their language. These models were then probed for phonetic features using the corresponding inventories in [Phoible](https://phoible.org/). Check out the paper for more details. Training and analysis scripts can be found [here](https://github.com/codebyzeb/PhonemeTransformers).
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# IPA CHILDES Models
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Phoneme-based GPT-2 models trained on the largest 11 sections of the [IPA-CHILDES](https://huggingface.co/datasets/phonemetransformers/IPA-CHILDES) dataset.
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All models have 5M non-embedding parameters and were trained on 1.8M tokens from their language. These models were then probed for phonetic features using the corresponding inventories in [Phoible](https://phoible.org/). Check out the paper for more details. Training and analysis scripts can be found [here](https://github.com/codebyzeb/PhonemeTransformers).
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