Training Log Sop

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

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File contents

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 //):

Log Format Template

Generate or parse logs using the following structure, ensuring all relevant metrics are populated: Epoch / / [==============================] - s ms/step - loss: - accuracy: - precision: - recall: - max_acc: - val_loss: - val_accuracy: - val_precision: - val_recall: - val_max_acc: - 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.

ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/training_log_sop commit 84fa2f230f

Frequently asked questions

npx skillmds@latest add ecnu-icalk/training-log-sop