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README.md

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-license: mit
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+---
+base_model: unsloth/gemma-7b-bnb-4bit
+library_name: peft
+license: mit
+---
+# Model Card for Stock Advisor
+
+This is a fine-tuned language model designed to provide stock market analysis and recommendations based on current market data and trends.
+
+## Model Details
+
+### Model Description
+
+The Stock Advisor is a fine-tuned variant of the Gemma-7B model, optimized for providing stock market analysis and recommendations. The model has been trained to understand and analyze market trends, company performance metrics, and provide informed insights about stock investments.
+
+- **Developed by:** Adeola Oladeji, Daniel Boadzie
+- **Model type:** Language Model (Fine-tuned)
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model:** unsloth/gemma-7b-bnb-4bit
+
+### Model Sources
+
+- **Repository:** [More Information Needed]
+- **Paper:** [More Information Needed]
+- **Demo:** [More Information Needed]
+
+## Uses
+
+### Direct Use
+
+The model can be used to:
+- Analyze current stock market trends
+- Provide investment recommendations based on market data
+- Explain market movements and their potential implications
+- Offer insights into company performance metrics
+
+### Downstream Use
+
+- Integration into financial advisory platforms
+- Stock market analysis tools
+- Investment research applications
+- Personal finance management systems
+
+### Out-of-Scope Use
+
+This model should not be used for:
+- Guaranteed financial returns predictions
+- Real-time trading decisions without human oversight
+- Personal financial advice without proper regulatory compliance
+- As a sole source for investment decisions
+
+## Bias, Risks, and Limitations
+
+- The model's analysis is based on historical data and may not account for unexpected market events
+- Market predictions are inherently uncertain and should not be taken as financial guarantees
+- The model may have biases towards well-known stocks or markets where more training data was available
+- Performance may vary during unusual market conditions or black swan events
+
+### Recommendations
+
+- Users should always combine the model's insights with professional financial advice
+- The model's outputs should be one of many tools used in investment decision-making
+- Regular evaluation of the model's performance against current market conditions is recommended
+- Users should be aware of local financial regulations and compliance requirements
+
+## How to Get Started with the Model
+
+```python
+from peft import PeftModel, PeftConfig
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the base model
+model_name = "unsloth/gemma-7b-bnb-4bit"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Load the fine-tuned model
+peft_model = PeftModel.from_pretrained(model, "path_to_your_finetuned_model")
+```
+
+## Training Details
+
+### Training Data
+
+The model was fine-tuned on current stock market data including:
+- Historical price movements
+- Company financial reports
+- Market news and analysis
+- Trading volumes and patterns
+
+[Specific dataset details needed]
+
+### Training Procedure
+
+#### Training Hyperparameters
+
+- **Training regime:** 4-bit quantization with PEFT
+- **Framework versions:** PEFT 0.13.2
+
+## Evaluation
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+- Recent market data
+- Out-of-sample stock performance
+- Historical market events
+
+#### Factors
+- Market conditions (bull/bear markets)
+- Sector-specific performance
+- Company size and market cap
+- Market volatility levels
+
+#### Metrics
+- Prediction accuracy
+- Recommendation quality
+- Analysis comprehensiveness
+- Risk assessment accuracy
+
+### Results
+
+[Specific evaluation results needed]
+
+## Environmental Impact
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Model Card Authors
+
+- Adeola Oladeji
+- Daniel Boadzie
+
+## Model Card Contact
+
+For questions and feedback about this model, please contact:
+- Adeola Oladeji
+- Daniel Boadzie
+
+[Contact information needed]