Maksymdolgikh Seqeval With Fbeta

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

qhjqhj00 78a994e 934 B Updated 3 repo stars

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maksymdolgikh-seqeval-with-fbeta

Metric maksymdolgikh/seqeval_with_fbeta from the HuggingFace evaluate library.

When to invoke

User asks to compute maksymdolgikh/seqeval_with_fbeta or wants HF evaluate's canonical version.

Recipe

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

Don'ts

  • Don't assume your in-house maksymdolgikh/seqeval_with_fbeta 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/maksymdolgikh-seqeval-with-fbeta commit 78a994ea6a

Frequently asked questions

npx skillmds add qhjqhj00/maksymdolgikh-seqeval-with-fbeta