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NASDAQ_news_binary_headlines_30min
aalindt/NASDAQ_news_binary_headlines_30min
NASDAQ_news_binary_headlines_30min is a text classification model from aalindt. Use it when you need a label for a piece of text. It is set up for transformers.
Model for Binary classification on headlines from the NASDAQnews dataset. Label0 = Downward movement Label1 = Upward movement
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Mar 20, 2023
- Updated
- Mar 20, 2023
- SHA
- a441fa35
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Model card
From the Hugging Face model README
Pretrained model used for the NASDAQ_news dataset
Model for Binary classification on headlines from the NASDAQ_news dataset. Label_0 = Downward movement Label_1 = Upward movement
The target_variable is the return 30-minutes after an article has been published
Model Info:
This model is a fine-tuned DistilBertForSequenceClassification on random samples of the NASDAQ_news dataset. It uses the DistilBertTokenizerFast as a tokenizer.
Model Data:
The model is finetuned on headlines
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Mar 20, 2023
- Updated
- Mar 20, 2023