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language: |
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- de |
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- en |
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- es |
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- fr |
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# Model Card for `answer-finder-v1-L-multilingual` |
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This model is a question answering model developed by Sinequa. It produces two lists of logit scores corresponding to |
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the start token and end token of an answer. |
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Model name: `answer-finder-v1-L-multilingual` |
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## Supported Languages |
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The model was trained and tested in the following languages: |
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- English |
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- French |
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- German |
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- Spanish |
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## Scores |
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| Metric | Value | |
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|:--------------------------------------------------------------|-------:| |
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| F1 Score on SQuAD v2 EN with Hugging Face evaluation pipeline | 75 | |
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| F1 Score on SQuAD v2 EN with Haystack evaluation pipeline | 75 | |
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| F1 Score on SQuAD v2 FR with Haystack evaluation pipeline | 73.4 | |
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| F1 Score on SQuAD v2 DE with Haystack evaluation pipeline | 90.8 | |
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| F1 Score on SQuAD v2 ES with Haystack evaluation pipeline | 67.1 | |
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## Inference Time |
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| GPU Info | Batch size 1 | Batch size 32 | |
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|:--------------------------------------------------------------|---------------:|---------------:| |
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| NVIDIA A10 | 4 ms | 84 ms | |
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| NVIDIA T4 | 15 ms | 362 ms | |
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**Note that the Answer Finder models are only used at query time.** |
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## Requirements |
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- Minimal Sinequa version: 11.10.0 |
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- GPU memory usage: 1060 MiB |
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Note that GPU memory usage only includes how much GPU memory the actual model consumes on an NVIDIA T4 GPU with a batch |
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size of 32. It does not include the fix amount of memory that is consumed by the ONNX Runtime upon initialization which |
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can be around 0.5 to 1 GiB depending on the used GPU. |
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## Model Details |
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### Overview |
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- Number of parameters: 110 million |
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- Base language model: [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) |
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pre-trained by Sinequa in English, French, German and Spanish |
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- Insensitive to casing and accents |
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### Training Data |
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- [SQuAD v2](https://rajpurkar.github.io/SQuAD-explorer/) |
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- [French-SQuAD](https://github.com/Alikabbadj/French-SQuAD) + French translation of SQuAD v2 "impossible" query-passage pairs |
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- [GermanQuAD](https://www.deepset.ai/germanquad) + German translation of SQuAD v2 "impossible" query-passage pairs |
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- [SQuAD-es-v2](https://github.com/ccasimiro88/TranslateAlignRetrieve) |
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