5CD-AI
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visocial-T5-base

Text2Text Generation

Inference Endpoints

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khang119966 commited on Jul 15

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 ## Overview
 <!-- Provide a quick summary of what the model is/does. -->
 We trimmed vocabulary size to 50,589 and continually pretrained `google/mt5-base`[1] on a merged 20GB dataset, the training dataset includes:
-- Internal data (100M comments and 15M posts on Facebook)
 - UIT data[2], which is used to pretrain `uitnlp/visobert`[2]
 - MC4 ecommerce
 - 10.7M comments on VOZ Forum from `tarudesu/VOZ-HSD`[7]

 ## Overview
 <!-- Provide a quick summary of what the model is/does. -->
 We trimmed vocabulary size to 50,589 and continually pretrained `google/mt5-base`[1] on a merged 20GB dataset, the training dataset includes:
+- Crawled data (100M comments and 15M posts on Facebook)
 - UIT data[2], which is used to pretrain `uitnlp/visobert`[2]
 - MC4 ecommerce
 - 10.7M comments on VOZ Forum from `tarudesu/VOZ-HSD`[7]