Danieldux Hierarchical Softmax Loss

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

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danieldux-hierarchical-softmax-loss

Metric danieldux/hierarchical_softmax_loss from the HuggingFace evaluate library.

When to invoke

User asks to compute danieldux/hierarchical_softmax_loss or wants HF evaluate's canonical version.

Recipe

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

Don'ts

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

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Frequently asked questions

npx skillmds add qhjqhj00/danieldux-hierarchical-softmax-loss