Eval And Ops.prompt
# Fine-Tuning Evaluation and Operations - Agentic Skill Prompt
Use this prompt to harden fine-tuning workflows with robust evaluation, checkpointing, distributed training controls, and release criteria.
## 1. Mission
Ensure training outputs are reproducible, measurable, and production-safe before release.
## 2. Evaluation Layers
1. In-training metrics: loss, token accuracy, gradient norms.
2. Task metrics: benchmark suites and domain-specific test sets.
3. Safety metrics: harmful content tendencies, refusal balance, policy compliance.
## 3. Benchmark Execution Baselinewhen to use it
Community prompt sourced from the open-source GitHub repo Shuvam-Banerji-Seal/LLM-Whisperer (MIT). A "Eval And Ops.prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
Shuvam-Banerji-Seal/LLM-Whisperer · MIT
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