Model Card for Model ID

Model Description

• Developed by: [linkedin @saribasmetehan]
• Shared by [optional]: [linkedin @saribasmetehan]
• Model type: [Mistral 7B fine-tuned with LoRA]
• Language(s) (NLP): [Turkish]
• Finetuned from model [optional]: [mistralai/Mistral-7B-v0.1]
• Fine-tuning Steps and Model Usage:[github @saribasmetehan]

Bias, Risks, and Limitations

• Language Bias: Since the model is trained only on Turkish data, it may not perform well in other languages.
• Domain Bias: As the model is trained on Turkish finance data, its performance may be lower in other domains (e.g., healthcare, technology).
• Data Bias: The data set used is collected from specific sources within a certain time frame, so biases in the data may be reflected in the model's outputs.

• Misinformation: The model may generate incorrect information. It is important to verify the accuracy of the outputs.
• Over-reliance: Users should not overly rely on the model's outputs and should seek human review and approval when making critical decisions.
• Ethical Concerns: The model may raise ethical and privacy concerns when working with sensitive financial information. Limitations
• Limited Knowledge Base: The model's knowledge base is limited to the training data and may not include the most recent information or events.
• Performance in Complex Scenarios: The model may not perform adequately in very complex financial scenarios or those requiring in-depth analysis.
• Resource Intensive: Using large models can require significant computational power and resources.

Fine-Tuning Process :

How to Get Started with the Model

Training Details

• Learning_rate=2e-5
• Per device train batch size=8
• Trainable params: 21260288
• All params: 3773331456
• Ratio%: 0.5634354746703705

Training Data

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