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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.