deotech/StocK_Advisor

1---2base_model: unsloth/gemma-7b-bnb-4bit3library_name: peft4license: mit5---6# Model Card for Stock Advisor7 8This is a fine-tuned language model designed to provide stock market analysis and recommendations based on current market data and trends.9 10## Model Details11 12### Model Description13 14The 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.15 16- **Developed by:** Adeola Oladeji, Daniel Boadzie17- **Model type:** Language Model (Fine-tuned)18- **Language(s) (NLP):** English19- **License:** MIT20- **Finetuned from model:** unsloth/gemma-7b-bnb-4bit21 22### Model Sources23 24- **Repository:** [More Information Needed]25- **Paper:** [More Information Needed]26- **Demo:** [More Information Needed]27 28## Uses29 30### Direct Use31 32The model can be used to:33- Analyze current stock market trends34- Provide investment recommendations based on market data35- Explain market movements and their potential implications36- Offer insights into company performance metrics37 38### Downstream Use39 40- Integration into financial advisory platforms41- Stock market analysis tools42- Investment research applications43- Personal finance management systems44 45### Out-of-Scope Use46 47This model should not be used for:48- Guaranteed financial returns predictions49- Real-time trading decisions without human oversight50- Personal financial advice without proper regulatory compliance51- As a sole source for investment decisions52 53## Bias, Risks, and Limitations54 55- The model's analysis is based on historical data and may not account for unexpected market events56- Market predictions are inherently uncertain and should not be taken as financial guarantees57- The model may have biases towards well-known stocks or markets where more training data was available58- Performance may vary during unusual market conditions or black swan events59 60### Recommendations61 62- Users should always combine the model's insights with professional financial advice63- The model's outputs should be one of many tools used in investment decision-making64- Regular evaluation of the model's performance against current market conditions is recommended65- Users should be aware of local financial regulations and compliance requirements66 67## How to Get Started with the Model68 69```python70from peft import PeftModel, PeftConfig71from transformers import AutoModelForCausalLM, AutoTokenizer72 73# Load the base model74model_name = "unsloth/gemma-7b-bnb-4bit"75tokenizer = AutoTokenizer.from_pretrained(model_name)76model = AutoModelForCausalLM.from_pretrained(model_name)77 78# Load the fine-tuned model79peft_model = PeftModel.from_pretrained(model, "path_to_your_finetuned_model")80```81 82## Training Details83 84### Training Data85 86The model was fine-tuned on current stock market data including:87- Historical price movements88- Company financial reports89- Market news and analysis90- Trading volumes and patterns91 92[Specific dataset details needed]93 94### Training Procedure95 96#### Training Hyperparameters97 98- **Training regime:** 4-bit quantization with PEFT99- **Framework versions:** PEFT 0.13.2100 101## Evaluation102 103### Testing Data, Factors & Metrics104 105#### Testing Data106- Recent market data107- Out-of-sample stock performance108- Historical market events109 110#### Factors111- Market conditions (bull/bear markets)112- Sector-specific performance113- Company size and market cap114- Market volatility levels115 116#### Metrics117- Prediction accuracy118- Recommendation quality119- Analysis comprehensiveness120- Risk assessment accuracy121 122### Results123 124[Specific evaluation results needed]125 126## Environmental Impact127 128- **Hardware Type:** [More Information Needed]129- **Hours used:** [More Information Needed]130- **Cloud Provider:** [More Information Needed]131- **Compute Region:** [More Information Needed]132- **Carbon Emitted:** [More Information Needed]133 134## Model Card Authors135 136- Adeola Oladeji137- Daniel Boadzie138 139## Model Card Contact140 141For questions and feedback about this model, please contact:142- Adeola Oladeji143- Daniel Boadzie144 145[Contact information needed]