library_name: transformers
tags: []
Model Card for LLaMAdelic
The LLaMAdelic model was fine-tuned to generate conversations with personality-specific adaptations based on the Big 5 personality traits: Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. The model was trained on conversational data, specifically designed to enhance its capacity for personality-driven dialogue. Detailed information about the dataset will be updated soon.
Model Details
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Model Description
This is the model card for the fine-tuned LLaMAdelic model on the 🤗 Hub.
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- Model type: Fine-tuned LLaMA 3 8B Instruct
- Language(s) (NLP): English
- License: Will be updated soon
- Finetuned from model: LLaMA 3 8B Instruct
Model Sources
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Uses
Direct Use
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Downstream Use
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be aware of potential biases and limitations. Further recommendations will be updated soon.
How to Get Started with the Model
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Training Details
Training Data
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Training Procedure
Preprocessing
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Training Hyperparameters
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Speeds, Sizes, Times
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
The results from the EleutherAI/lm-evaluation-harness for OCEAN personality benchmarks show notable improvements in personality-specific scores for the LLaMAdelic model over the zeroshot pre-trained LLaMA 8B instruct model. Detailed evaluation results are below:
| Model | Description | Openness | Conscientiousness | Extraversion | Agreeableness | Neuroticism | Avg |
|---|---|---|---|---|---|---|---|
| LLaMA 8B ins | Zeroshot | 0.8760 | 0.7620 | 0.7170 | 0.9500 | 0.5220 | 0.7654 |
| LLaMAdelic | Finetuned on Conversational Data | 0.9150 | 0.7840 | 0.6680 | 0.9440 | 0.7040 | 0.8030 |
Model Examination
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Environmental Impact
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Technical Specifications
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation
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Glossary
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More Information
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Model Card Authors
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Model Card Contact
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