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  # CryptoBERT
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- This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3823
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  ## Model description
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- More information needed
 
 
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  ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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  ### Training hyperparameters
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  # CryptoBERT
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+ This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on the Custom Crypto Market Sentiment dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3823
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  ## Model description
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+ This model fine-tunes the [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert), which is a pre-trained NLP model to analyze the sentiment of the financial text.
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+ CryptoBERT model fine-tunes this by training the model as a downstream task on Custom Crypto Sentiment data to predict whether the given text related to the Crypto market is
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+ Positive (LABEL_1) or Negative (LABEL_1).
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  ## Intended uses & limitations
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+ The model can perform well on Crypto-related data. The main limitation is that the fine-tuning was done using only a small corpus of data
 
 
 
 
 
 
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  ### Training hyperparameters
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