Add YAML metadata to fix repo card warning
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README.md
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# 🏦 Macroeconomic Sentiment Analysis
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**What it does:** Takes any financial or economic text and tells you whether the sentiment is positive, negative, or neutral — plus whether the tone is hawkish/dovish, whether it signals a crisis, and how much it relates to climate/ESG.
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---
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library_name: transformers
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license: apache-2.0
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tags:
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- text-classification
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- sentiment-analysis
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- finance
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- finbert
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- roberta
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- climate
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- esg
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- macroeconomics
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datasets:
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- nickmuchi/financial-classification
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- zeroshot/twitter-financial-news-sentiment
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- FinanceInc/auditor_sentiment
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- pauri32/fiqa-2018
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- climatebert/climate_sentiment
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metrics:
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- accuracy
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- f1
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language:
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- en
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pipeline_tag: text-classification
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model-index:
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- name: macro-sentiment-finbert
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results:
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- task:
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type: text-classification
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name: Financial Sentiment Analysis
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metrics:
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- name: Accuracy (RoBERTa-Large)
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type: accuracy
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value: 0.913
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- name: F1 Macro (RoBERTa-Large)
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type: f1
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value: 0.902
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- name: Accuracy (FinBERT)
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type: accuracy
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value: 0.897
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- name: F1 Macro (FinBERT)
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type: f1
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value: 0.881
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- name: Accuracy (ClimateBERT)
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type: accuracy
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value: 0.889
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- name: F1 Macro (ClimateBERT)
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type: f1
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value: 0.872
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---
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# 🏦 Macroeconomic Sentiment Analysis
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**What it does:** Takes any financial or economic text and tells you whether the sentiment is positive, negative, or neutral — plus whether the tone is hawkish/dovish, whether it signals a crisis, and how much it relates to climate/ESG.
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