# Training Log Sop

> General SOP for generating or analyzing training logs, incorporating metrics like loss, accuracy, precision, recall, and max accuracy across epochs.

- Skill: `ecnu-icalk/training-log-sop` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/training-log-sop`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/training-log-sop/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ecnu-icalk/training-log-sop

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# training_log_sop

General SOP for generating or analyzing training logs, incorporating metrics like loss, accuracy, precision, recall, and max accuracy across epochs.

## Prompt

Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):

# Log Format Template
Generate or parse logs using the following structure, ensuring all relevant metrics are populated:
Epoch <CURRENT>/<TOTAL>
<STEPS>/<TOTAL_STEPS> [==============================] - <TIME>s <MS>ms/step - loss: <LOSS> - accuracy: <ACC> - precision: <PREC> - recall: <REC> - max_acc: <MAX_ACC> - val_loss: <VAL_LOSS> - val_accuracy: <VAL_ACC> - val_precision: <VAL_PREC> - val_recall: <VAL_REC> - val_max_acc: <VAL_MAX_ACC> - lr: <LR>

# Workflow Instructions
For each step, include:
1. Action
2. Checks
3. Failure rollback/fallback plan

# Output Format
For each step number, provide status/result and what to do next.

## Triggers

- Use when the user asks for a process or checklist.
- Use when you want to reuse a previously mentioned method/SOP.
- Use when generating training logs or metrics.

## Examples

### Example 1

Input:

  Break this into best-practice, executable steps.