{
  "timestamp": "2026-08-16T01:57:17.410981",
  "checkpoint": "storage/models/bear_final.pt",
  "device": "cpu",
  "stages": {
    "cpt": {
      "summary": {
        "avg_loss": 1.8693425178527832,
        "pattern_match_rate": 60.0,
        "task_count": 5
      },
      "details": [
        {
          "id": "hf_cpt_humaneval_01",
          "category": "code_python",
          "loss": 1.0997084379196167,
          "ppl": 3.0032902507280093,
          "bpb": 0.46254924484267623,
          "syntax_pattern_match": true,
          "generated_sample": "def is_prime(n: int) -> bool:\n        \"\"\"Return True if a given number is prime, and False otherwise.\n        >>> is_prime(10"
        },
        {
          "id": "hf_cpt_gsm8k_01",
          "category": "math_reasoning",
          "loss": 1.5855170488357544,
          "ppl": 4.881814862765376,
          "bpb": 0.6668855928863694,
          "syntax_pattern_match": true,
          "generated_sample": "48 total clips and 48 \u00d7 48 = 48.\nStep 2: Natalia sold 48 \u00d7 48 = 48 total clips"
        },
        {
          "id": "hf_cpt_latex_math_01",
          "category": "latex_equations",
          "loss": 1.7661380767822266,
          "ppl": 5.848224300451033,
          "bpb": 0.7428567477839328,
          "syntax_pattern_match": false,
          "generated_sample": "\\frac{1}{\\sqrt{4\\pi}} \\int_{-\\infty}^{\\infty} e^{-x^2} \\, dx = \\frac{1}{\\"
        },
        {
          "id": "hf_cpt_powershell_01",
          "category": "terminal_powershell",
          "loss": 3.6109378337860107,
          "ppl": 37.0007370895879,
          "bpb": 1.5187994477438524,
          "syntax_pattern_match": false,
          "generated_sample": "#   - Name: A\n#   - Name: C\n#   - Name: D\n#   - Name: E\n#   - Name"
        },
        {
          "id": "hf_cpt_typescript_01",
          "category": "code_typescript",
          "loss": 1.2844111919403076,
          "ppl": 3.6125402380616927,
          "bpb": 0.5402372178059954,
          "syntax_pattern_match": true,
          "generated_sample": "return {\n        getDefaultConfig(): BearModelConfig\n    }\n}\n\nfunction createBuildConfig(): BearModelConfig {\n    return {\n        getBuild"
        }
      ]
    }
  }
}