Question Answering
Transformers
Safetensors
French
deberta-v2
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  # QAmemBERTa
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  ## Model Description
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- We present **QAmemBERTa**, which is a [CamemBERTa v2 base](https://huggingface.co/almanach/camembertav2-base) model fine-tuned on [frenchQA](https://huggingface.co/datasets/CATIE-AQ/frenchQA), a SQuAD 2.0 format like dataset in French, representing **221,348 context/question/answer training triplets uand 6,376 to test**.
 
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  Our methodology is described in a blog post available in [English](https://blog.vaniila.ai/en/QA_en/) or [French](https://blog.vaniila.ai/QA/).
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  # QAmemBERTa
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  ## Model Description
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+ We present **QAmemBERT2**, which is a [CamemBERTa v2 base](https://huggingface.co/almanach/camembertav2-base) fine-tuned for the Question-Answering task for the French language on four French Q&A datasets composed of contexts and questions with their answers inside the context (= SQuAD 1.0 format) but also contexts and questions with their answers not inside the context (= SQuAD 2.0 format).
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+ All these datasets were concatenated into a single dataset that we called [frenchQA](https://huggingface.co/datasets/CATIE-AQ/frenchQA).
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+ This represents a total of over **221,348 context/question/answer triplets used to finetune this model and 6,376 to test it**.
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  Our methodology is described in a blog post available in [English](https://blog.vaniila.ai/en/QA_en/) or [French](https://blog.vaniila.ai/QA/).
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