{
  "run_slug": "holo-3-1-4b-repair38-v1",
  "base_model_id": "Hcompany/Holo-3.1-4B",
  "adapter_repo": "josephmayo/Holo-3.1-4B-Coding-Repair38-LoRA",
  "method": "4-bit QLoRA SFT on curated local coding splits plus external coding instruction data; gated merge only",
  "target": ">=38/80 pass count on held-out HumanEval+MBPP greedy probe after adapter repair",
  "push_to_hf": true,
  "push_even_if_gate_fail": false,
  "seed": 42,
  "stage": "done",
  "errors": [],
  "warnings": [],
  "hf_token_secret_name": "hardcoded_fallback",
  "hf_token_present": true,
  "dataset_selection": {
    "root": "/kaggle/input/datasets/josephayanda/curated-agent-coding-dataset-sft-v1",
    "used": [
      {
        "file": "targeted_sft_2000.jsonl",
        "available": 2000,
        "selected": 2000,
        "purpose": "targeted failure families"
      },
      {
        "file": "eval_maxxing_3500.jsonl",
        "available": 3500,
        "selected": 3200,
        "purpose": "hidden-test style coding"
      },
      {
        "file": "coding_sft_5000.jsonl",
        "available": 5000,
        "selected": 3200,
        "purpose": "broad language coding"
      },
      {
        "file": "real_world_coding_3500.jsonl",
        "available": 3500,
        "selected": 1800,
        "purpose": "production coding tasks"
      },
      {
        "file": "heavy_real_world_agentic_5000.jsonl",
        "available": 5000,
        "selected": 120,
        "purpose": "long repo-agent examples"
      }
    ],
    "skipped_preference_pairs": [
      "orpo_gold_1000.jsonl",
      "reasoning_preference_1000.jsonl"
    ],
    "external": [
      {
        "dataset": "ise-uiuc/Magicoder-Evol-Instruct-110K",
        "selected": 96
      },
      {
        "dataset": "m-a-p/CodeFeedback-Filtered-Instruction",
        "selected": 96
      },
      {
        "dataset": "HuggingFaceH4/CodeAlpaca_20K",
        "selected": 96
      },
      {
        "dataset": "glaiveai/glaive-code-assistant-v3",
        "selected": 96
      }
    ]
  },
  "train_rows_loaded": 10704,
  "cuda_available": true,
  "cuda_device_count": 2,
  "devices": [
    "Tesla T4",
    "Tesla T4"
  ],
  "eval_task_count": 80,
  "before_counts": {
    "pass": 24,
    "fail": 56
  },
  "before_eval_skipped_reused": true,
  "lora_target_modules": [
    "q_proj",
    "k_proj",
    "v_proj",
    "o_proj"
  ],
  "repair_source_adapter": "josephmayo/Holo-3.1-4B-Coding-30pct-LoRA",
  "after_counts": {
    "pass": 31,
    "fail": 49
  },
  "improvement_gate": {
    "ran_eval": true,
    "before_pass": 24,
    "after_pass": 31,
    "target_pass_for_repair38": 38,
    "relative_improvement": 0.2917,
    "passed": false
  },
  "push_skipped": "repair38 gate failed; set PUSH_EVEN_IF_GATE_FAIL=1 to push adapter anyway"
}