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  # SocBERT model
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  Pretrained model on 20GB English tweets and 72GB Reddit comments using a masked language modeling (MLM) objective.
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- The model was trained from scratch following the model architecture of RoBERTa-base.
 
 
 
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  We benchmarked SocBERT, on 40 text classification tasks with social media data.
 
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  The experiment results can be found in our paper:
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  ```
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  @inproceedings{socbert:2023,
 
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  # SocBERT model
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  Pretrained model on 20GB English tweets and 72GB Reddit comments using a masked language modeling (MLM) objective.
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+ The tweets are from Archive and collected from Twitter Streaming API.
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+ The Reddit comments are ramdonly sampled from all subreddits from 2015-2019.
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+ SocBERT-base was pretrained on 819M sequence blocks for 100K steps.
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+ SocBERT-final was pretrained on 929M (819M+110M) sequence blocks for 112K (100K+12K) steps.
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  We benchmarked SocBERT, on 40 text classification tasks with social media data.
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+
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  The experiment results can be found in our paper:
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  ```
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  @inproceedings{socbert:2023,