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+ ---
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+ datasets:
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+ - oscar
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+ language:
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+ - da
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+ widget:
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+ - text: Der var engang
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+ ---
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+
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+ # What is this?
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+ GPT-2 model (small version, 124 M parameters) for Danish text generation.
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+ # Model training
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+ The model is trained using the Danish part of the [oscar dataset](https://huggingface.co/datasets/oscar) ('unshuffled_deduplicated_da') and a context length of 1024 tokens.
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+ The model is initilized from the English [GPT-2 small model](https://huggingface.co/gpt2) with new word token embeddings created for Danish using [WECHSEL](https://github.com/CPJKU/wechsel).
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+ Initially, only the word token embeddings are trained using 50.000 samples. Finally, the whole model is trained using 1.000.000 samples.
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+ Model training is carried out on a 8 GB GPU.
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+ # Notes
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+ This is a pre-trained model, for optimal performance it should be finetuned for new tasks.