guanghulab/brain/training-status.json

{
  "version": "1.4",
  "last_updated": "2026-05-20T17:10+08:00",
  "updated_by": "铸渊 (ICE-GL-ZY001) · 冰朔纠正后更新",
  "mother_model": {
    "status": "completed",
    "status_label": "✅ 已完成 · 已上传COS bingshuo-1317346199",
    "model": "Qwen/Qwen2.5-7B",
    "final_loss": 1.5229,
    "final_epoch": 3,
    "total_epochs": 3,
    "cos_path": "cos://bingshuo-1317346199/models/qwen25-7b-sft/final/",
    "completed_at": "2026-05-19T~22:30+08:00",
    "fixes": {
      "generation_config_eos": "151645 ✅",
      "default_system": "已清除 ✅"
    }
  },
  "code_model": {
    "status": "completed",
    "status_label": "✅ 已完成 · 已上传COS bingshuo-1317346199",
    "model": "Qwen/Qwen2.5-Coder-7B",
    "final_loss": 1.822,
    "cos_path": "cos://bingshuo-1317346199/models/qwen25-coder-7b-sft/final/",
    "fixes": {}
  },
  "distill_shuangyan_15b": {
    "status": "completed",
    "status_label": "✅ 已完成 · 霜砚1.5B蒸馏完成",
    "version": "v7",
    "script": "scripts/distill_mother_v7.py",
    "teacher": "母模型7B SFT (COS bingshuo)",
    "student": "Qwen2.5-1.5B-Instruct",
    "params": "B=2, GA=16, LR=1e-5, TEMP=2.0, ALPHA=0.7",
    "host": "connect.westd.seetacloud.com:23647 (RTX PRO 6000 96GB)",
    "completed_at": "2026-05-20",
    "cos_output": "models/shuangyan-15b-distill/"
  },
  "distill_coder_15b": {
    "status": "completed",
    "status_label": "✅ 已完成 · 铸渊1.5B蒸馏完成",
    "script": "scripts/distill_coder_v2.py",
    "teacher": "代码模型7B SFT (COS bingshuo)",
    "student": "Qwen2.5-Coder-1.5B-Instruct",
    "params": "B=2, GA=16, LR=1e-5 (预修OOM)",
    "completed_at": "2026-05-20",
    "cos_output": "models/qwen25-15b-coder-distill/"
  },
  "finetune_shuangyan_15b": {
    "status": "completed",
    "status_label": "✅ 已完成 · 小霜砚LoRA微调完成",
    "base_model": "Qwen2.5-1.5B-Instruct",
    "method": "LoRA微调 (冰朔语料深度微调)",
    "final_loss": 1.724,
    "completed_at": "2026-05-20",
    "cos_output": "models/shuangyan-15b-finetune/"
  },
  "pipeline": {
    "steps": [
      {"name": "母模型SFT训练+上传COS", "status": "completed", "label": "✅"},
      {"name": "代码模型SFT训练+上传COS", "status": "completed", "label": "✅"},
      {"name": "Track1 母模型→霜砚1.5B蒸馏", "status": "completed", "label": "✅"},
      {"name": "Track1 上传COS", "status": "completed", "label": "✅"},
      {"name": "Track2 代码模型→铸渊1.5B蒸馏", "status": "completed", "label": "✅"},
      {"name": "Track2 上传COS", "status": "completed", "label": "✅"},
      {"name": "小霜砚1.5B语料微调", "status": "completed", "label": "✅"},
      {"name": "小铸渊1.5B语料微调", "status": "pending", "label": "⏳"},
      {"name": "光湖驱动引擎v1.0开发", "status": "pending", "label": "⏳"},
      {"name": "1.5B模型部署到六台服务器", "status": "pending", "label": "⏳"}
    ]
  },
  "website_status": {
    "login_api": "✅ 正常",
    "training_panel": "⚠️ 训练已全部完成，状态文件待全面刷新",
    "js_all_functions": "✅ 已修复",
    "gpu_monitoring": "⚠️ GPU空闲(32°C, 0% mem)，训练已全部结束"
  },
  "alerts": [
    "⚠️ 冰朔纠正：training-status.json停留在D106的Ep1/3状态，实际已全部完成",
    "⚠️ 铸渊核心大脑文件严重滞后 — 未同步最新训练进度",
    "⚠️ 下一步：光湖驱动引擎v1.0开发 + 模型部署到六台服务器"
  ]
}