| 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:
- 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.
