updated

README.md

@@ -11,9 +11,9 @@ model-index:
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
 probably proofread and complete it, then remove this comment. -->
 
-# dpr-ctx_encoder_bert_uncased_L-12_H-128_A-2
+# dpr-ctx_encoder_bert_uncased_L-2_H-128_A-2
 
-This model(google/bert_uncased_L-12_H-128_A-2) was trained from scratch on training data: data.retriever.nq-adv-hn-train(facebookresearch/DPR).
+This model(google/bert_uncased_L-2_H-128_A-2) was trained from scratch on training data: data.retriever.nq-adv-hn-train(facebookresearch/DPR).
 It achieves the following results on the evaluation set:
 
 
@@ -23,14 +23,15 @@ evaluation dataset: facebook-dpr-dev-dataset from official DPR github
 
 |model_name|data_name|num of queries|num of passages|R@10|R@20|R@50|R@100|R@100|
 |---|---|---|---|---|---|---|---|---|
-|nlpconnect/dpr-ctx_encoder_bert_uncased_L-12_H-128_A-2(our)|nq-dev dataset|6445|199795|60.53%|68.28%|76.07%|80.98%|91.45%|
+|nlpconnect/dpr-ctx_encoder_bert_uncased_L-2_H-128_A-2(our)|nq-dev dataset|6445|199795|60.53%|68.28%|76.07%|80.98%|91.45%|
+|nlpconnect/dpr-ctx_encoder_bert_uncased_L-12_H-128_A-2(our)|nq-dev dataset|6445|199795|65.43%|71.99%|79.03%|83.24%|92.11%|
 |*facebook/dpr-ctx_encoder-single-nq-base(hf/fb)|nq-dev dataset|6445|199795|40.94%|49.27%|59.05%|66.00%|82.00%|
 
 evaluation dataset: UKPLab/beir test data but we have used first 2lac passage only. 
 
 |model_name|data_name|num of queries|num of passages|R@10|R@20|R@50|R@100|R@100|
 |---|---|---|---|---|---|---|---|---|
-|nlpconnect/dpr-ctx_encoder_bert_uncased_L-12_H-128_A-2(our)|nq-test dataset|3452|200001|49.68%|59.06%|69.40%|75.75%|89.28%|
+|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%|
 |*facebook/dpr-ctx_encoder-single-nq-base(hf/fb)|nq-test dataset|3452|200001|32.93%|43.74%|56.95%|66.30%|83.92%|
 
 Note: * means we have evaluated on same eval dataset.