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README.md
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@@ -23,7 +23,7 @@ This repository only contains the adapter of the fine-tuned model! You should ha
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## Evaluation
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Benchmark Results on [MIRACL-ita-ArgosTranslate](https://huggingface.co/datasets/yuri-no/miracl-ita-argos)
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| **Model** | **MRR@10** | **Recall@100** | **nDCG@10** |
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|:-------------:|:----------:|:--------------:|:-----------:|
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| gemma-argos | 73.05 | 96.42 | 69.05 |
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| gemma-palm | 72.56 | 96.33 | 68.87 |
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Benchmark Results on [MIRACL-ita-PaLM](https://huggingface.co/datasets/yuri-no/miracl-ita-palm)
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| **Model** | **MRR@10** | **Recall@100** | **nDCG@10** |
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|:-------------:|:----------:|:--------------:|:-----------:|
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| gemma-palm | 75.30 | 98.10 | 71.87 |
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Benchmark Results on [Shitao/MLDR](https://huggingface.co/datasets/Shitao/MLDR)
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| **Model** | **MRR@10** | **Recall@100** | **nDCG@10** |
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|:-------------:|:----------:|:--------------:|:-----------:|
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## Evaluation
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Benchmark Results on [MIRACL-ita-ArgosTranslate](https://huggingface.co/datasets/yuri-no/miracl-ita-argos) dev split
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| **Model** | **MRR@10** | **Recall@100** | **nDCG@10** |
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|:-------------:|:----------:|:--------------:|:-----------:|
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| gemma-argos | 73.05 | 96.42 | 69.05 |
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| gemma-palm | 72.56 | 96.33 | 68.87 |
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Benchmark Results on [MIRACL-ita-PaLM](https://huggingface.co/datasets/yuri-no/miracl-ita-palm) dev split
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| **Model** | **MRR@10** | **Recall@100** | **nDCG@10** |
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|:-------------:|:----------:|:--------------:|:-----------:|
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| gemma-palm | 75.30 | 98.10 | 71.87 |
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Benchmark Results on [Shitao/MLDR](https://huggingface.co/datasets/Shitao/MLDR) test split
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| **Model** | **MRR@10** | **Recall@100** | **nDCG@10** |
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|:-------------:|:----------:|:--------------:|:-----------:|
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