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README.md
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🌟 This model card proudly presents Gemma-FULL-RAC-Colombia, a groundbreaking language model fine-tuned with precision on the Colombian Aeronautical Regulations (Reglamento Aeronáutico Colombiano, RAC) dataset. Harnessing the advanced capabilities of Google's original Gemma model, this adaptation focuses keenly on the aviation regulatory sphere within Colombia.
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## Model Details 📈
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### Model Description 📘
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6419c2f6b4adb0e101b17b6c/vufJ_u_5ZrdzNcSrqwjBx.png" alt="Loss Function Graph" width="500">
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</p>
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### Model Sources 📚
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- **Repository:** To be added
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- **Paper [optional]:** To be added
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- **Demo [optional]:** To be added
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## Uses 🛠️
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The Gemma-FULL-RAC-Colombia model is designed to enhance the understanding and application of the Colombian Aeronautical Regulations (RAC) through natural language processing. It's tailored for professionals and enthusiasts in the aviation industry, regulatory agencies, legal experts, and AI researchers with an interest in domain-specific language model applications.
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🌟 This model card proudly presents Gemma-FULL-RAC-Colombia, a groundbreaking language model fine-tuned with precision on the Colombian Aeronautical Regulations (Reglamento Aeronáutico Colombiano, RAC) dataset. Harnessing the advanced capabilities of Google's original Gemma model, this adaptation focuses keenly on the aviation regulatory sphere within Colombia.
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# Table of Contents
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- [Model Card for Gemma-FULL-RAC-Colombia 🛫](#model-card-for-gemma-full-rac-colombia-)
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* [Model Details 📈](#model-details-)
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+ [Model Description 📘](#model-description-)
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* [Uses 🛠️](#uses-)
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+ [Direct Use 🎯](#direct-use-)
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+ [Downstream Use [optional] 🔄](#downstream-use-optional-)
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+ [Out-of-Scope Use 🚫](#out-of-scope-use-)
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* [Bias, Risks, and Limitations ⚠️](#bias-risks-and-limitations-)
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+ [Recommendations 📝](#recommendations-)
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* [How to Get Started with the Model 🚀](#how-to-get-started-with-the-model-)
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* [Training Details 🧠](#training-details-)
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+ [Environment and Libraries 🖥️](#environment-and-libraries-)
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+ [Model Architecture 🏗️](#model-architecture-)
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+ [Fine-tuning with LoRA 🔧](#fine-tuning-with-lora-)
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+ [Training Process 🚀](#training-process-)
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+ [Training Data 📚](#training-data-)
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+ [Training Procedure](#training-procedure)
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* [Environmental Impact](#environmental-impact)
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## Model Details 📈
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### Model Description 📘
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6419c2f6b4adb0e101b17b6c/vufJ_u_5ZrdzNcSrqwjBx.png" alt="Loss Function Graph" width="500">
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</p>
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## Uses 🛠️
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The Gemma-FULL-RAC-Colombia model is designed to enhance the understanding and application of the Colombian Aeronautical Regulations (RAC) through natural language processing. It's tailored for professionals and enthusiasts in the aviation industry, regulatory agencies, legal experts, and AI researchers with an interest in domain-specific language model applications.
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