feat(trl): improve eval dataset handling and documentation
evalstate
82d8f10
- Add train/eval split to all training examples (SFT, DPO)
- Add eval_strategy configuration with proper dataset requirements
- Add critical troubleshooting section for training hangs
- Improve documentation with examples of correct vs incorrect patterns
- Make utility scripts executable (convert_to_gguf, estimate_cost, validate_dataset)
- Update references to point to example scripts for production training
- Remove outdated 'Quick Demo' and 'Production with Checkpoints' sections
FIXES: Training jobs hanging when eval_strategy is set without eval_dataset
IMPROVES: User guidance on best practices for monitoring and evaluation
ADDS: Comprehensive troubleshooting guide for common issues