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Multilingual Document Retrieval on MIRACL (Evaluation set)

71.7nDCG@10DRAMA1B
37.17246.13655.164.064Feb 25, 2025

Evaluation results

MethodLinks
DRAMA1BNon-Emb. Param.=1B, Repre. Dim.=2048, Contra. Pretrain.=false, Data Aug.=true, Multi. Lang.=true2025.0271.7———————————————————
DRAMA0.3BNon-Emb. Param.=265M, Repre. Dim.=1024, Contra. Pretrain.=false, Data Aug.=true, Multi. Lang.=true2025.0271.4———————————————————
DRAMA1B (768d)Non-Emb. Param.=1B, Repre. Dim.=768, Contra. Pretrain.=false, Data Aug.=true, Multi. Lang.=true2025.0270.9———————————————————
DRAMA0.1BNon-Emb. Param.=113M, Repre. Dim.=768, Contra. Pretrain.=false, Data Aug.=true, Multi. Lang.=true2025.0270.4———————————————————
M3-BGE-DenseNon-Emb. Param.=303M, Repre. Dim.=1024, Contra. Pretrain.=true, Data Aug.=false, Multi. Lang.=true2025.0269.2———————————————————
mE5-InstNon-Emb. Param.=303M, Repre. Dim.=1024, Contra. Pretrain.=true, Data Aug.=true, Multi. Lang.=true2025.0266———————————————————
mE5-largeNon-Emb. Param.=303M, Repre. Dim.=1024, Contra. Pretrain.=true, Data Aug.=false, Multi. Lang.=true2025.0265.4———————————————————
ArcticEmb-v2-LNon-Emb. Param.=303M, Repre. Dim.=1024, Contra. Pretrain.=true, Data Aug.=false, Multi. Lang.=true2025.0264.9———————————————————
MistralE5Non-Emb. Param.=7B, Repre. Dim.=4096, Contra. Pretrain.=false, Data Aug.=true, Multi. Lang.=true2025.0262.2———————————————————
mGTE-DenseNon-Emb. Param.=113M, Repre. Dim.=768, Contra. Pretrain.=true, Data Aug.=false, Multi. Lang.=true2025.0262.1———————————————————
mE5-baseNon-Emb. Param.=86M, Repre. Dim.=768, Contra. Pretrain.=true, Data Aug.=false, Multi. Lang.=true2025.0260.1———————————————————
ArcticEmb-v2-MNon-Emb. Param.=113M, Repre. Dim.=768, Contra. Pretrain.=true, Data Aug.=false, Multi. Lang.=true2025.0259.2———————————————————
GeckoNon-Emb. Param.=1B, Repre. Dim.=768, Contra. Pretrain.=true, Data Aug.=true, Multi. Lang.=true2025.0256.2———————————————————
BM25Contra. Pretrain.=false, Data Aug.=false, Multi. Lang.=true2025.0238.5———————————————————
BM252023.04—48.150.835.131.933.355.118.345.844.936.941.933.438.349.448.418———
BM25 + mDPR2023.04—67.365.454.964.159.467.252.361.644.357.660.953.244.660.259.952.6———
mContrieverTraining Data=English MS MARCO2023.04—55.354.237.934.142.651.231.540.636.838.346.239.944.448.752.427.432.932.941.5
mContrieverTraining Data=English MS MARCO + MIRACL (16 languages)2023.04—64.666.441.240.346.361.942.941.944.655.655.448.165.377.669.345.939.641.952.7
mDPR2023.04—49.944.339.447.84847.243.538.327.243.941.940.729.935.635.851.2———
mXTRbaseTraining Data=English MS MARCO2023.04—66.164.749.440.547.962.237.551.446.956.86449.84367.769.247.234.540.652.2
mXTRbaseTraining Data=English MS MARCO + MIRACL (16 languages)2023.04—7373.946.142.65170.539.351.354.262.367.754.569.780.776.151.436.146.858.2
mXTRxxlTraining Data=English MS MARCO2023.04—74.175.55652.456.175.151.461.85268.767.461.369.77676.956.951.760.363.5
mXTRxxlTraining Data=English MS MARCO + MIRACL (16 languages)2023.04—77.878.452.548.9567652.961.554.973.468.566.279.484.380.758.952.862.465.9