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@@ -13,7 +13,7 @@ tags:
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  - stock-market
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  pipeline_tag: text-classification
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  model-index:
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- - name: FinBERT-India-v2
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  results:
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  - task:
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  type: text-classification
@@ -35,8 +35,10 @@ model-index:
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  **FinBERT-India-v1** is a fine-tuned financial sentiment analysis model trained specifically for **Indian financial news and stock market headlines**.
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  further adapted to understand **India-specific financial context, market language, and sentiment nuances.**
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- Trained on a curated dataset of India-focused financial articles, it effectively captures regional market language, economic tone, and sentiment patterns, classifying each headline as positive, neutral, or negative.
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- The model is designed to assist in financial analytics, market forecasting, and investment decision-making by providing precise sentiment insights tailored to the Indian financial landscape.
 
 
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  ---
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  ### 🏗️ Training Details
@@ -59,7 +61,7 @@ The model is designed to assist in financial analytics, market forecasting, and
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  ### 📊 Dataset Description
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- The dataset was **LLM-labeled** using a combination of **FinBERT** and **Gemini 2.5 Flash**, followed by manual quality inspection.
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  It consists of **Indian financial news headlines** collected from various stock market sources and business outlets.
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  | Label | Count | Percentage |
 
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  - stock-market
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  pipeline_tag: text-classification
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  model-index:
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+ - name: FinBERT-India-v1
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  results:
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  - task:
19
  type: text-classification
 
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  **FinBERT-India-v1** is a fine-tuned financial sentiment analysis model trained specifically for **Indian financial news and stock market headlines**.
36
  further adapted to understand **India-specific financial context, market language, and sentiment nuances.**
37
 
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+ Trained on a curated dataset of **India-focused financial articles**, this model effectively captures **regional market language, economic tone**, and **sentiment patterns**, classifying each headline as **positive**, **neutral**, or **negative**.
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+
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+ It is designed to assist in **financial analytics**, **market forecasting**, and **investment decision-making** by providing precise **sentiment insights** tailored to the **Indian financial landscape**.
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+
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  ---
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  ### 🏗️ Training Details
 
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  ### 📊 Dataset Description
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+ The dataset was **LLM-labeled** using an advanced **large language model-based annotation pipeline**, inspired by **FinBERT’s financial sentiment framework** and refined through **manual quality validation**.
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  It consists of **Indian financial news headlines** collected from various stock market sources and business outlets.
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  | Label | Count | Percentage |