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README.md
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Trained on a DGX machine (8 V100 GPUs) using the standard huggingface training procedure.
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To optimize training time we split the data into 4 sections based on max number of tokens:
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1. num tokens < 32 (70M sentences)
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Trained on a DGX machine (8 V100 GPUs) using the standard huggingface training procedure.
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Since the larger part of our training data is based on tweets we decided to start by optimizing using Masked Language Model loss only.
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To optimize training time we split the data into 4 sections based on max number of tokens:
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1. num tokens < 32 (70M sentences)
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