Argmaxinc Detailed Wer

Compute argmaxinc/detailed-wer via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of argmaxinc/detailed-wer.

qhjqhj00 a895813 854 B Updated 3 repo stars

File contents

argmaxinc-detailed-wer

Metric argmaxinc/detailed-wer from the HuggingFace evaluate library.

When to invoke

User asks to compute argmaxinc/detailed-wer or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("argmaxinc/detailed-wer")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house argmaxinc/detailed-wer 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/argmaxinc-detailed-wer commit a8958132cf

Frequently asked questions

npx skillmds add qhjqhj00/argmaxinc-detailed-wer