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