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---
name: flan_reduced_instruction_finetuning_loop
description: Execute a bounded optimizer-based proxy for FLAN instruction finetuning and record loss plus parameter-change evidence.
---
# FLAN Reduced Instruction Finetuning Loop
Use this skill when full FLAN-T5 finetuning is unavailable but soft-mode recovery permits a declared proxy.
## Inputs
- Formatted prompt/completion records.
- Learning rate and step budget.
## Outputs
- Training trace with `loss_before`, `loss_after`, `params_before`, `params_after`, and optimizer flags.
## Workflow
1. Convert records to deterministic features.
2. Compute logistic loss.
3. Apply gradient steps.
4. Save before/after parameter evidence.
## Validation
Run `python tests/test_training_loop.py`.
## Limitations
This validates optimization mechanics but is not full large-model FLAN training.
