Mamba Financial Headline Sentiment Classifier
A sentment classifier for finacial headlines using mamba 2.8b as the base model.
Text is classified into 1 of 3 labels; positive, neutral, or negative.
Prompt Format:
prompt = f"""Classify the setiment of the following news headlines as either `positive`, `neutral`, or `negative`.\n
Headline: {headline}\n
Classification:"""
where headline is the text you want to be classified.
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Base model
state-spaces/mamba-2.8bDatasets used to train winddude/mamba_financial_headline_sentiment
Evaluation results
- Accuracy on financial_phrasebankself-reported0.820
- Percision on financial_phrasebankself-reported0.820
- recall on financial_phrasebankself-reported0.820
- F1 on financial_phrasebankself-reported0.820