Commit History

  1. Rename benchmarks/README.md to benchmarks/benchmarkinfo.md

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  2. Upload README.md

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  3. Add GRPO evidence bundle⁠

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  4. Upload README.md

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  5. Upload BLOG.md

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  6. Clarify README training evidence

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  7. Fix observation runtime fields

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  8. Update README for submission

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  9. Update graph images with latest visual revisions

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  10. Update README and final assets for OPENENV-PROJECT

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  11. Upload score_comparison.png with huggingface_hub

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  12. Update generate_training_curves.py

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  1. Upload artifacts/training_results_graph.png with huggingface_hub

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  2. fix: handle device_map=auto, gradient checkpointing, and eager attention for stable PEFT training

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  3. fix: use tokenize=False + explicit tokenizer call to fix BatchEncoding shape error

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  4. fix: replace Unsloth with standard PEFT+BitsAndBytes to fix dtype crash on A100

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  5. sync: rebuild train_colab.ipynb to mirror train_grpo.py with dtype fix and pre/post eval

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  6. fix: explicitly set model dtype to avoid float/half mismatch in unsloth

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  7. cleanup: remove unnecessary files (PDFs, duplicate PNGs, lock files, PDF generators)

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  8. audit: fix HF Space link, remove TLDB files, fix paths, update training refs to 7B

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  9. cleanup: remove small test notebook, keep only 7B competition build

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  10. fix: rewrite both notebooks with live logging, prompt key, bf16 fix

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  11. feat: clean live sample logging in exact user format

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  12. fix: change dataset key from 'messages' to 'prompt' for TRL GRPOTrainer

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  13. fix: auto rm -rf before git clone in colab notebooks

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  14. fix: unsloth batch math and bf16/fp16 dynamic assignment for T4/A100

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  15. fix: add openenv-core to pip install in both training notebooks

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  16. fix: add training-safe SDK fallback + upgrade to 7B + test notebook

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  17. fix: remove SDK ImportError fallback — fail fast with clear ModuleNotFoundError

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  1. Final bug fixes, dashboard io patch, and OpenEnv hackathon preparation

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  1. Add LFS tracking for binary files (PNG, PDF, ipynb)

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  2. SocialContract-v0: Complete hackathon submission with multi-agent, curriculum, GRPO training, benchmarks, and interactive demo

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