Update train_grpo1.py: set NUM_STEPS=50 and optimize logging steps

Fix: Export JSON and IPYNB from LFS to regular Git storage

Configure LFS for binary files and update Dockerfile

Enhance: Update GRPO training process with improved plotting and sentinel integration for 50-step runs

Fix: 50-step GRPO training with plotting & sentinel

fix: stabilize 5-step smoke logging and completion

chore: keep smoke run at 5 steps

fix: harden smoke-run plotting for HF space

chore: reduce smoke run to 5 steps

fix: make max_steps the sole GRPO stop condition

chore: switch to 50-step smoke test run

fix: harden HF cache paths and add Space push helper

modified ipynb train code

added sft scenarios

Update README.md

fix: add ForceStopCallback to ensure training ends at step 300

chore: finalize environment and training configuration

feat: add step tracking and stop-check safeguards for Phase 4

modified context

fix: correct accelerate version to 1.13.0

fix: downgrade TRL to 0.14.0 as requested

fix: upgrade to TRL 0.14.3 and restore top-level imports

fix: use absolute python path and stable pytorch base image

fix: harden Docker build with python3 -m pip and import validation

fix: force trl upgrade and use direct sub-module imports

fix: use python3 in Dockerfile CMD for HF compatibility

fix: revert Dockerfile to latest and pin transformers to 4.46.0

chore: pin HF base image to 4.47.1 for total environment parity

fix: upgrade transformers to 4.47.1 to satisfy TRL 0.12.1 requirements

fix: upgrade accelerate and transformers to satisfy TRL 0.12.1

fix: use HF base image and TRL 0.12.1 for GRPOConfig support

fix: revert to even more stable library versions and add wandb/matplotlib

fix: pin trl to 0.11.4 and transformers to 4.45.2 to resolve FSDP error

fix: remove torch/transformers from requirements to avoid Docker conflict

fix: upgrade pytorch base image to 2.5.1 for TRL compatibility

chore: set Dockerfile to training mode for HF Space deployment

feat: prepare for HF Docker training with Hub integration

chore: update .gitignore to exclude results directory

feat: optimize GRPO training with stability guards and reward curve plotting

added legitimate claim reward

fix: clean up deps for HF Docker build - server-only pyproject, split requirements

fix: add missing requirements-server.txt for Docker build

added ipynb file for training grpo

feat: implement generalization testing pipeline and report generation for held-out evaluation scenarios

docs: refactor context.md for project clarity and add baseline/phase 3 documentation

Refactor: Optimized for HF deployment, improved reward stability, and cleaned up workspace.

added multiline tier 1 scenarios

Fix 0.52 plateau, implement multi-turn eval, and prepare HF deployment

fixed verifier bugs

chore: remove unused configuration file