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+ ---
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ ---
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+
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+ Fine-Tuned [BLINK](https://github.com/facebookresearch/blink/) CrossEncoder.
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+ - Base model: https://huggingface.co/UnlikelyAI/crossencoder-wiki-large
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+ - Training data:
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+ - 20% (stratified by source dataset) of the following [entity resolution benchmarks](https://console.cloud.google.com/bigquery?ws=!1m4!1m3!3m2!1sunlikelyaiprincipal!2sfixed):
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+ - handwritten_entity_linking
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+ - wikibank_entity_linking
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+ - kilt_entity_linking
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+ - jobe_entity_linking
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+ - qald9_entity_linking
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+ - Training setup:
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+ - 1 L4 GPU (23GB)
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+ - batch_size = 1
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+ - gradient_accumulation_steps = 8
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+ - type_optimization = "all_encoder_layers" (i.e. ["additional", "bert_model.encoder.layer"])
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+ - n_epochs = 2