Intel LLM Leaderboard Submitted LoRA Model
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LoRA Models
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This model was fine-tuned from meta-llama/Meta-Llama-3-8B
Model Details
Model Description
The gopalakrishnan-d/meta-llama3-8b-alpaca-v1 model is a fine-tuned variant of the Llama3 architecture with 8 billion parameters. This version has been specifically enhanced for better performance on diverse language tasks, utilizing the Gaudi 2 Accelerator to optimize the training process.
- Hardware Type: Intel Gaudi2 Accelerator
- Cloud Provider: Intel® Tiber™ Developer Cloud
- Developed by: gopalakrishnan-d
- Model type: Fine-Tuned LLM
- Language(s) (NLP): English
- **License:Apache 2.0 License
- Finetuned from model: meta-llama/Meta-Llama-3-8B
Uses
- Customer Service Chatbots
- Content Generation Tools
- Educational Tutoring Systems
- Workflow Automation Systems
- Personalized Recommendation Engines
Training Hyperparameters
- learning_rate: 5e-06 (Low Rate)
- train_batch_size: 8
- seed: 100
- gradient_accumulation_steps: 1
- optimizer: Adam
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- lora_rank=16
- lora_alpha=32
Evaluation
Will be update..!
Results
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