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  1. Document per-case score and verdict files

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  2. Add per-case scores and per-criterion judge verdicts

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  3. Add per-case scores and per-criterion judge verdicts

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  1. Remove superseded partial-rubric artifacts

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  2. Remove superseded partial-rubric artifacts

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  3. Remove superseded partial-rubric artifacts

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  4. Add full V5.9.2 evaluation artifacts

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  5. Add full V5.9.2 evaluation artifacts

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  6. Add full V5.9.2 evaluation artifacts

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  7. Add full V5.9.2 evaluation artifacts

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  8. Add full V5.9.2 evaluation artifacts

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  9. Update to full V5.9.2 scores (all three rubric families, n=200)

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  1. Add evaluator models (9B step100, 27B step296): checkpoints, benchmark, usage

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  2. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/model.safetensors

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  3. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/trainer_state.json

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  4. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/trainer_log.jsonl

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  5. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/tokenizer_config.json

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  6. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/tokenizer.json

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  7. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/processor_config.json

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  8. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/generation_config.json

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  9. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/config.json

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  10. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/chat_template.jinja

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  11. Add designcoder_evaluator_qwen3.5_9b_adamw_bs256_data37847_step100/README.md

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  12. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/model-00002-of-00002.safetensors

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  13. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/model-00001-of-00002.safetensors

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  14. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/training_loss.png

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  15. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/trainer_state.json

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  16. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/trainer_log.jsonl

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  17. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/tokenizer_config.json

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  18. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/tokenizer.json

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  19. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/processor_config.json

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  20. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/model.safetensors.index.json

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  21. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/generation_config.json

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  22. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/config.json

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  23. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/chat_template.jinja

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  24. Add designcoder_evaluator_qwen3.8_27b_adamw_bs256_data37847_step296/README.md

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  25. Add full-run HTML report (4 models x 200 cases)

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  26. Add eval artifacts: summary, per-case scores, significance tests, rubric stats, HTML report

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  27. Add eval artifacts: summary, per-case scores, significance tests, rubric stats, HTML report

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  28. Add eval artifacts: summary, per-case scores, significance tests, rubric stats, HTML report

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  29. Add eval artifacts: summary, per-case scores, significance tests, rubric stats, HTML report

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  30. Update bench-200 final full-run scores (n=200 all models) + eval artifacts

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  1. Update model card: add 4 data41287 checkpoints, fix dataset revision, add bench-200 scores

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  2. Add designcoder_qwen3.8_27b_adamw_bs128_data41287_step400 (bench-200: 91.19, strongest in release)

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  3. Add designcoder_qwen3.5_9b_adamw_bs256_data41287_step200 (bench-200: 84.40)

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  4. Add designcoder_qwen3.5_4b_muon_bs256_data41287_step200 (bench-200: 83.36)

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  5. Add designcoder_qwen3.5_4b_adamw_bs256_data41287_step200 (bench-200: 84.22)

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  1. Update model card: drop removed 9B ep20 arm

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  2. Remove 9B ep20 over-training arm

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  3. Update model card: drop removed 27B arm, add weight decay column, generalize naming rule

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