Aye10032 Top5 Error Rate

Compute Aye10032/top5_error_rate via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of Aye10032/top5_error_rate.

qhjqhj00 3913dd1 870 B Updated 3 repo stars

File contents

aye10032-top5-error-rate

Metric Aye10032/top5_error_rate from the HuggingFace evaluate library.

When to invoke

User asks to compute Aye10032/top5_error_rate or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("Aye10032/top5_error_rate")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house Aye10032/top5_error_rate 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/aye10032-top5-error-rate commit 3913dd11fe

Frequently asked questions

npx skillmds add qhjqhj00/aye10032-top5-error-rate