training-patterns
ML Training Patterns
Purpose: Provide production-ready training templates, configuration files, and automation scripts for common ML training scenarios including classification, generation, fine-tuning, and PEFT/LoRA approaches.
Activation Triggers:
- Building text classification models (sentiment, intent, NER, etc.)
- Training text generation models (summarization, Q&A, chatbots)
- Fine-tuning pre-trained models for specific tasks
- Implementing PEFT (Parameter-Efficient Fine-Tuning) with LoRA
- Setting up training pipelines with HuggingFace Transformers
- Configuring training hyperparameters and optimization
- Preparing datasets for model training
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