ElKulako
/

cryptobert

Text Classification

sentiment classification

sentiment analysis

cryptocurrency sentiment analysis

Inference Endpoints

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ElKulako commited on Jul 10, 2022

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@@ -24,7 +24,7 @@ CryptoBERT is a pre-trained NLP model to analyse the language and sentiments of
 ## Classification Training
 The model was trained on the following labels: "Bearish" : 0, "Neutral": 1, "Bullish": 2
-CryptoBERT's sentiment classification head was fine-tuned on a balanced dataset of 2M labelled StockTwits posts, bootstrapped from [ElKulako/stocktwits-crypto](https://huggingface.co/datasets/ElKulako/stocktwits-crypto).
 CryptoBERT was trained with a max sequence length of 128. Technically, it can handle sequences of up to 514 tokens, however, going beyond 128 is not recommended.

 ## Classification Training
 The model was trained on the following labels: "Bearish" : 0, "Neutral": 1, "Bullish": 2
+CryptoBERT's sentiment classification head was fine-tuned on a balanced dataset of 2M labelled StockTwits posts, sampled from [ElKulako/stocktwits-crypto](https://huggingface.co/datasets/ElKulako/stocktwits-crypto).
 CryptoBERT was trained with a max sequence length of 128. Technically, it can handle sequences of up to 514 tokens, however, going beyond 128 is not recommended.