Update README.md

README.md

@@ -1,3 +1,85 @@
----
-license: apache-2.0
----
+---
+base_model: microsoft/DialoGPT-small
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- conversational-ai
+- finance
+- fintech
+- wealth-management
+- financial-advisor
+- investment-advisory
+- financial-planning
+- lora
+- private-banking
+- portfolio-management
+- financial-qa
+- client-advisory
+- robo-advisor
+- financial-consultation
+language:
+- en
+license: mit
+datasets:
+- ChanceFocus/flare-finqa
+metrics:
+- perplexity
+- accuracy
+widget:
+- text: "<|user|> As my financial advisor, please help me understand: What is the impact of interest rate changes on my bond portfolio? <|bot|>"
+  example_title: "Interest Rate Risk Advisory"
+- text: "<|user|> As my financial advisor, please help me understand: How should I diversify my investment portfolio for retirement planning? <|bot|>"  
+  example_title: "Portfolio Diversification"
+- text: "<|user|> As my financial advisor, please help me understand: What are the tax implications of selling my stocks this year? <|bot|>"
+  example_title: "Tax Planning Consultation"
+---
+
+# DialoGPT-Financial-Wealth-Management-Advisor
+
+Fine-tuned DialoGPT-small for financial advisory conversations, wealth management guidance, and comprehensive investment consultation services.
+
+## Overview
+- **Base Model:** microsoft/DialoGPT-small (117M parameters)
+- **Fine-tuning Method:** LoRA (4-bit quantization)
+- **Dataset:** Financial Q&A dataset (1K expert-level samples)
+- **Training:** 3 epochs with optimized hyperparameters
+
+## Key Features
+- Comprehensive financial advisory consultations
+- Investment portfolio analysis and recommendations
+- Risk assessment and management strategies
+- Tax planning and wealth optimization advice
+- Retirement and financial planning guidance
+- Client-focused conversational interface
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("sweatSmile/DialoGPT-Financial-Wealth-Management-Advisor")
+tokenizer = AutoTokenizer.from_pretrained("sweatSmile/DialoGPT-Financial-Wealth-Management-Advisor")
+
+# Financial advisory consultation example
+prompt = "<|user|> As my financial advisor, please help me understand: How do foreign currency fluctuations affect my international investments? <|bot|>"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=200, pad_token_id=tokenizer.eos_token_id)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Applications
+- Wealth management client consultations
+- Investment advisory services automation
+- Financial planning and retirement guidance
+- Private banking client support
+- Robo-advisor conversation engines
+- Financial education and client onboarding
+
+## Training Details
+- LoRA rank: 8, alpha: 16
+- 4-bit NF4 quantization with fp16 precision
+- Learning rate: 2e-4 with linear scheduling
+- Batch size: 8, Max length: 320 tokens
+- 3 epochs on curated financial advisory dataset
+
+Optimized for sophisticated wealth management and investment advisory conversations in professional financial services environments.