Training log sop
Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/training_log_sop
General SOP for generating or analyzing training logs, incorporating metrics like loss, accuracy, precision, recall, and max accuracy across epochs.From its SKILL.md
npx -y skills add ECNU-ICALK/AutoSkill --skill training_log_sopAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
SKILL.md
1.7 KB, 288 tokens by cl100k_base, as published. Nobody here has run it
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:
- Action
- Checks
- 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.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.