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Training + Experimentation #5

@YounesBensafia

Description

@YounesBensafia

Files to create and modify

Create:

  • docs/training_loops.md: Summarize custom and framework-based training loops
  • docs/distributed_training.md: Document distributed training strategies
  • docs/hyperparameter_search.md: Summarize search methods and tuning best practices
  • docs/evaluation.md: Document evaluation strategies and metrics
  • docs/experiment_tracking.md: Summarize MLFlow/W&B usage for versioning and tracking experiments
  • docs/model_compression.md: Summarize quantization, distillation, and other compression techniques

Acceptance Criteria

  • Training loop strategies are clearly documented
  • Distributed training techniques and considerations are summarized
  • Hyperparameter search methods and pros/cons are documented
  • Evaluation strategies and metrics are defined
  • Experiment tracking and versioning practices are outlined
  • Model compression approaches are documented and explained

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