Lhy Ranking Loss

Compute lhy/ranking_loss via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of lhy/ranking_loss.

qhjqhj00 9e6a711 806 B Updated 3 repo stars

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lhy-ranking-loss

Metric lhy/ranking_loss from the HuggingFace evaluate library.

When to invoke

User asks to compute lhy/ranking_loss or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("lhy/ranking_loss")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house lhy/ranking_loss matches HF — version conventions vary.
  • Many evaluate metrics have task-specific arguments (average=, lang=, model_type=); read the metric card before reporting numbers.

qhjqhj00/research-skills-pool/tree/main/skill-factory/output/lhy-ranking-loss commit 9e6a711ec9

Frequently asked questions

npx skillmds add qhjqhj00/lhy-ranking-loss