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mkdir -p .claude/commands && curl -sL https://www.antrophiclove.com/api/kaynak/track/raw -o .claude/commands/track.md

Hedef dosya: .claude/commands/track.md

---
name: track
description: Track an ML experiment by logging parameters, metrics, and artifacts for comparison.
---

Track an ML experiment by logging parameters, metrics, and artifacts for comparison.

## Steps


1. Define the experiment metadata:
2. Log hyperparameters:
3. Log metrics during and after training:
4. Save artifacts:
5. Record environment details:
6. Tag the experiment with status (running, completed, failed).
7. Store results in a structured format for later comparison.

## Format


```
Experiment: <name>
Date: <timestamp>
Hypothesis: <what is being tested>
Params: { learning_rate: X, batch_size: Y, ... }
```


## Rules

- Always log random seeds for reproducibility.
- Record the exact dataset version used.
- Never overwrite previous experiment results.