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dpr-question_encoder_bert_uncased_L-2_H-128_A-2

Feature Extraction
Transformers
PyTorch
TensorFlow
bert
generated_from_keras_callback
dpr
text-embeddings-inference
Inference Endpoints
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ankur310794 commited on
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@@ -32,6 +32,7 @@ evaluation dataset: UKPLab/beir test data but we have used first 2lac passage on
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  |model_name|data_name|num of queries|num of passages|R@10|R@20|R@50|R@100|R@100|
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  |---|---|---|---|---|---|---|---|---|
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  |nlpconnect/dpr-ctx_encoder_bert_uncased_L-2_H-128_A-2(our)|nq-test dataset|3452|200001|49.68%|59.06%|69.40%|75.75%|89.28%|
 
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  |*facebook/dpr-ctx_encoder-single-nq-base(hf/fb)|nq-test dataset|3452|200001|32.93%|43.74%|56.95%|66.30%|83.92%|
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  Note: * means we have evaluated on same eval dataset.
 
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  |model_name|data_name|num of queries|num of passages|R@10|R@20|R@50|R@100|R@100|
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  |---|---|---|---|---|---|---|---|---|
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  |nlpconnect/dpr-ctx_encoder_bert_uncased_L-2_H-128_A-2(our)|nq-test dataset|3452|200001|49.68%|59.06%|69.40%|75.75%|89.28%|
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+ |nlpconnect/dpr-ctx_encoder_bert_uncased_L-12_H-128_A-2(our)|nq-test dataset|3452|200001|51.62%|61.09%|70.10%|76.07%|88.70%|
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  |*facebook/dpr-ctx_encoder-single-nq-base(hf/fb)|nq-test dataset|3452|200001|32.93%|43.74%|56.95%|66.30%|83.92%|
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  Note: * means we have evaluated on same eval dataset.