Implementation:FlagOpen FlagEmbedding FlagAutoReranker From Finetuned Validation

Source
FlagEmbedding/inference/auto_reranker.py:L23-81

Summary

This documents using FlagAutoReranker.from_finetuned() specifically for loading fine-tuned reranker checkpoints for validation. The underlying API is the same as FlagAutoReranker.from_finetuned() used for inference, but applied in a validation context.

Key difference: model_name_or_path points to the local fine-tuned directory, and model_class MUST be explicitly specified.

Example

reranker = FlagAutoReranker.from_finetuned(
    model_name_or_path="./fine_tuned_reranker",
    model_class="encoder-only-base"
)
scores = reranker.compute_score([
    ("What is AI?", "Artificial intelligence is..."),
    ("What is AI?", "The weather today...")
])
print(f"Scores: {scores}")

Related Pages

Principle:FlagOpen_FlagEmbedding_Finetuned_Reranker_Validation

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Principle

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