antoinelouis
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README.md
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@@ -65,15 +65,15 @@ We evaluated the model on 500 random queries from the mMARCO-fr train set (which
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Below, we compare the model performance with other cross-encoder models fine-tuned on the same dataset. We report the R-precision (RP), mean reciprocal rank (MRR), and recall at various cut-offs (R@k).
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| | model |
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| 1 | [crossencoder-camembert-base-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-camembert-base-mmarcoFR) |
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| 2 | [crossencoder-mMiniLMv2-L12-H384-distilled-from-XLMR-Large-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-mMiniLMv2-L12-H384-distilled-from-XLMR-Large-mmarcoFR) |
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| 3 | [crossencoder-mmarcoFR-mMiniLMv2-L12-H384-v1-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-mmarcoFR-mMiniLMv2-L12-H384-v1-mmarcoFR) |
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| 4 | [crossencoder-mpnet-base-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-mpnet-base-mmarcoFR) |
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| 5 | [crossencoder-distilcamembert-base-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-distilcamembert-base-mmarcoFR) |
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| 6 | **crossencoder-electra-base-french-europeana-cased-discriminator-mmarcoFR** |
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| 7 | [crossencoder-mMiniLMv2-L6-H384-distilled-from-XLMR-Large-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-mMiniLMv2-L6-H384-distilled-from-XLMR-Large-mmarcoFR) |
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## Training
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***
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Below, we compare the model performance with other cross-encoder models fine-tuned on the same dataset. We report the R-precision (RP), mean reciprocal rank (MRR), and recall at various cut-offs (R@k).
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| | model | Size | RP | MRR@10 | R@10(↑) | R@20 | R@50 | R@100 |
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|---:|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------:|-------------:|---------:|------------:|------------:|------------:|-------------:|
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| 1 | [crossencoder-camembert-base-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-camembert-base-mmarcoFR) | 443MB | 35.65 | 50.44 | 82.95 | 91.50 | 96.80 | 98.80 |
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| 2 | [crossencoder-mMiniLMv2-L12-H384-distilled-from-XLMR-Large-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-mMiniLMv2-L12-H384-distilled-from-XLMR-Large-mmarcoFR) | 471MB | 34.37 | 51.01 | 82.23 | 90.60 | 96.45 | 98.40 |
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| 3 | [crossencoder-mmarcoFR-mMiniLMv2-L12-H384-v1-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-mmarcoFR-mMiniLMv2-L12-H384-v1-mmarcoFR) | 471MB | 34.22 | 49.20 | 81.70 | 90.90 | 97.10 | 98.90 |
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| 4 | [crossencoder-mpnet-base-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-mpnet-base-mmarcoFR) | 438MB | 29.68 | 46.13 | 80.45 | 87.90 | 93.15 | 96.60 |
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| 5 | [crossencoder-distilcamembert-base-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-distilcamembert-base-mmarcoFR) | 272MB | 27.28 | 43.71 | 80.30 | 89.10 | 95.55 | 98.60 |
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| 6 | **crossencoder-electra-base-french-europeana-cased-discriminator-mmarcoFR** | 443MB | 28.32 | 45.28 | 79.22 | 87.15 | 93.15 | 95.75 |
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| 7 | [crossencoder-mMiniLMv2-L6-H384-distilled-from-XLMR-Large-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-mMiniLMv2-L6-H384-distilled-from-XLMR-Large-mmarcoFR) | 428MB | 33.92 | 49.33 | 79.00 | 88.35 | 94.80 | 98.20 |
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## Training
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***
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