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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Model tree for winddude/mamba_financial_headline_sentiment

Base model

state-spaces/mamba-2.8b

Finetuned

(1)

this model

Datasets used to train winddude/mamba_financial_headline_sentiment

Evaluation results

Accuracy on financial_phrasebank
self-reported

0.820
Percision on financial_phrasebank
self-reported

0.820
recall on financial_phrasebank
self-reported

0.820
F1 on financial_phrasebank
self-reported

0.820