nvidia
/

quality-classifier-deberta

pytorch_model_hub_mixin

model_hub_mixin

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ryantwolf commited on Aug 6

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@@ -17,9 +17,6 @@ The model architecture is Deberta V3 Base
 Context length is 1024 tokens
 # Training (details)
 ## Training data:
-- 1 million Common Crawl samples, labeled using Google Cloud’s Natural Language API: https://cloud.google.com/natural-language/docs/classifying-text
-- 500k Wikepedia articles, curated using Wikipedia-API: https://pypi.org/project/Wikipedia-API/
-## Training steps:
 The training set is 22828 Common Crawl text samples, labeled as "High", "Medium", "Low". Here are some examples:
 1. Input:
     ```

 Context length is 1024 tokens
 # Training (details)
 ## Training data:
 The training set is 22828 Common Crawl text samples, labeled as "High", "Medium", "Low". Here are some examples:
 1. Input:
     ```