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README.md

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+# 🤗 BERT Swedish
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+This BERT model was trained using the 🤗 transformers library.
+The size of the model is a regular BERT-base with 110M parameters.
+The model was trained on about 70GB of data, consisting mostly of OSCAR (25GB) and Swedish newspaper text curated by the National Library of Sweden.
+To avoid excessive padding documents shorter than 512 tokens were concatenated into one large sequence of 512 tokens, and larger documents were split into multiple 512 token sequences, following https://github.com/huggingface/transformers/blob/master/examples/pytorch/language-modeling/run_mlm.py
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+Training was done for a bit more than 8 epochs with a batch size of 2048, resulting in a little less than 125k training steps.