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Update the LossGraphNode docs #36

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21 changes: 21 additions & 0 deletions comfyui_embedded_docs/docs/LossGraphNode/zh.md
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`Plot Loss Graph` 节点用于 LoRA 训练系统中的可视化工具，用于生成和保存训练过程中损失函数变化的图表，需要与 `Train LoRA` 节点配合使用, 对应图表将在 LoRA 训练完成后生成，并保存到 ComfyUI 的临时文件夹

### 节点作用

- **训练监控**：实时可视化 LoRA 训练过程中的损失值变化趋势
- **训练评估**：帮助判断模型是否正常收敛，识别过拟合或欠拟合问题
- **参数调优**：通过损失曲线指导学习率、批次大小等超参数的调整
- **结果保存**：自动生成带时间戳的 PNG 图表文件，便于后续分析

### 图表解读

**基本要素**：
- **Y 轴**：损失值（Loss），数值越小表示训练效果越好
- **X 轴**：训练步数（Steps），显示训练进度
- **曲线**：蓝色曲线表示损失值的变化趋势
- **标注**：图表左侧显示最大值和最小值

**理想特征**：
- **下降趋势**：初期快速下降，表示模型正在有效学习
- **平稳收敛**：后期波动范围收窄，表示训练趋于稳定
- **适度波动**：若出现剧烈震荡，考虑调低学习率