guanghulab/brain/training-status.json

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{
"version": "1.1",
"last_updated": "2026-05-18T15:44+08:00",
"updated_by": "铸渊 (ICE-GL-ZY001)",
"mother_model": {
"status": "completed",
"status_label": "✅ 已完成",
"model": "Qwen/Qwen2.5-7B",
"final_loss": 0.2638,
"final_epoch": 3,
"total_epochs": 3,
"cos_path": "cos://sy-finetune-corpus-1317346199/models/qwen25-7b-sft/final/",
"completed_at": "2026-05-18T~06:00+08:00"
},
"code_model": {
"status": "training",
"status_label": "🔄 训练中冰朔确认epoch 2.19预计30-60分钟完成",
"model": "Qwen/Qwen2.5-Coder-7B",
"current_epoch": 2.19,
"target_epoch": 3,
"current_loss_range": "0.03-0.11",
"grad_norm_range": "0.1-2.0",
"learning_rate": "3.7e-06",
"health": "✅ 正常收敛,无异常",
"cos_path": "cos://sy-finetune-corpus-1317346199/models/qwen25-coder-7b-sft/final/"
},
"pipeline": {
"steps": [
{"name": "母模型SFT训练", "status": "completed", "label": "✅ 完成 (loss=0.2638)"},
{"name": "上传COS (母模型)", "status": "completed", "label": "✅ 已完成"},
{"name": "代码模型SFT训练", "status": "training", "label": "🔄 训练中epoch 2.19/3健康"},
{"name": "上传COS (代码模型)", "status": "pending", "label": "⚪ 等待训练完成"}
]
},
"next_phases": {
"distill_mother_to_shuangyan_15b": "⏳ 等待代码模型完成,然后启动蒸馏流水线",
"distill_coder_to_zhuyuan_15b": "⏳ 等待代码模型完成",
"resonance_lock_deployment": "⏳ 1.5B模型微调完成后部署到六台服务器"
},
"alerts": [],
"links": {
"notion": "https://www.notion.so/363fb92f383181029fafef8438d6c300"
}
}