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