training-log-sop

id	03e0f14f-3b51-4256-832d-e843dfa19fa9
name	training_log_sop
description	General SOP for generating or analyzing training logs, incorporating metrics like loss, accuracy, precision, recall, and max accuracy across epochs.
version	0.1.1
tags	["training","sop","metrics","loss","accuracy","precision"]
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	[{"input":"Break this into best-practice, executable steps."}]

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 / /<TOTAL_STEPS> [==============================] - s ms/step - loss: - accuracy: - precision: - recall: - 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:

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.