Question Answering
Transformers
Safetensors
French
deberta-v2
Inference Endpoints
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@@ -41,7 +41,7 @@ Our methodology is described in a blog post available in [English](https://blog.
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  | [etalab/camembert-base-squadFR-fquad-piaf](https://huggingface.co/AgentPublic/camembert-base-squadFR-fquad-piaf) | 110M | 512 tokens | 39.30 | 51.55 | 79.54 | 23.58
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  | [QAmembert](https://huggingface.co/CATIE-AQ/QAmembert)| 110M | 512 tokens | 77.14 | 86.88 | 75.66 | 98.11
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- | [QAmembert2](https://huggingface.co/CATIE-AQ/QAmembert2) (this version) | 112M | 1024 tokens | 76.47 | 88.25 | 78.66 | 97.84
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  | [QAmembert-large](https://huggingface.co/CATIE-AQ/QAmembert-large)| 336M | 512 tokens | 77.14 | 88.74 | 78.83 | **98.65**
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  | QAmemberta (this version) | 111M | 1024 tokens | **78.18** | **89.53** | **81.40** | 97.64
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  | ----------- | ----------- | ----------- | ----------- | ----------- |----------- |----------- |
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  | [etalab/camembert-base-squadFR-fquad-piaf](https://huggingface.co/AgentPublic/camembert-base-squadFR-fquad-piaf) | 110M | 512 tokens | 39.30 | 51.55 | 79.54 | 23.58
43
  | [QAmembert](https://huggingface.co/CATIE-AQ/QAmembert)| 110M | 512 tokens | 77.14 | 86.88 | 75.66 | 98.11
44
+ | [QAmembert2](https://huggingface.co/CATIE-AQ/QAmembert2)| 112M | 1024 tokens | 76.47 | 88.25 | 78.66 | 97.84
45
  | [QAmembert-large](https://huggingface.co/CATIE-AQ/QAmembert-large)| 336M | 512 tokens | 77.14 | 88.74 | 78.83 | **98.65**
46
  | QAmemberta (this version) | 111M | 1024 tokens | **78.18** | **89.53** | **81.40** | 97.64
47