Fine-tuning/backend/.env.example

# ============================================================
# 后端专属配置
# ============================================================

# 服务地址（服务器部署时改为 0.0.0.0）
BACKEND_HOST=0.0.0.0
BACKEND_PORT=8000
BACKEND_ENV=production
BACKEND_LOG_LEVEL=INFO
BACKEND_CORS_ORIGINS=http://192.168.91.253:5173

# 数据库
DATABASE_URL=sqlite+aiosqlite:///root/Fine-tuning/backend/data/finetuning.db

# 数据路径（Linux 服务器路径）
DATA_DIR=/root/Fine-tuning/backend/data

# 训练默认参数
DEFAULT_PEFT_METHOD=lora
DEFAULT_EPOCHS=3
DEFAULT_BATCH_SIZE=4
DEFAULT_GRADIENT_ACCUMULATION=4
DEFAULT_LR=2e-4
DEFAULT_MAX_SEQ_LENGTH=2048
DEFAULT_WARMUP_RATIO=0.05
DEFAULT_SAVE_STRATEGY=epoch
DEFAULT_EVAL_STRATEGY=epoch
DEFAULT_EVAL_STEPS=100

# LoRA
LORA_R=16
LORA_ALPHA=32
LORA_DROPOUT=0.05
LORA_TARGET_MODULES=all-linear

# QLoRA
QLORA_BITS=4
QLORA_TYPE=nf4
QLORA_DOUBLE_QUANT=true

# 上传限制
MAX_UPLOAD_SIZE_MB=500
ALLOWED_DATASET_FORMATS=jsonl,csv,parquet,json

# --- SSO 统一认证 ---
SSO_BASE_URL=http://192.168.92.61:8200
SSO_CLIENT_ID=WviiGL8KQE20tQhmhQPQhhJ5QpFK51F6
SSO_CLIENT_SECRET=9WXP88hEHJiHRSiUdmx7ip5oQPzY0bnJNsEswQoO4sk6juCplyJTcnAiZsv7e3lJ
SSO_REDIRECT_URI=http://192.168.92.151:3000/auth/callback
SSO_FRONTEND_URL=http://192.168.92.151:3000
SSO_SCOPE=email
SSO_LOGOUT_REDIRECT_URL=http://192.168.92.61:9200/login
JWT_SECRET_KEY=change-me-in-production-use-a-long-random-string
JWT_ACCESS_EXPIRE_MINUTES=20
JWT_REFRESH_EXPIRE_HOURS=24