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@@ -36,7 +36,7 @@ Evaluation results
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  Benchmark
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- This model performance is compared to 2 reference models (see below) with the metric [MCC (Matthews Correlation Coefficient)](https://en.wikipedia.org/wiki/Phi_coefficient). Unfortunately it's impossible to compare with [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) model because there is no way to know which observations were used for the evaluation phase. The score is given with a factor x100 and the delta gain with DistilCamemBERT-NER used in reference is in parantheses. For the mean inference time measure, an AMD Ryzen 5 4500U @ 2.3GHz with 6 cores was used:
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  | **model** | **time (ms)** | **PER** | **LOC** | **ORG** | **MISC** | **O** |
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  | :---------------------------------------------------------------------------------------------------------------: | :----------------: | :--------------: | :--------------: | :--------------: | :--------------: | :------------- : |
 
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  Benchmark
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+ This model performance is compared to 2 reference models (see below) with the metric [MCC (Matthews Correlation Coefficient)](https://en.wikipedia.org/wiki/Phi_coefficient). The score is given with a factor x100 and the delta gain with DistilCamemBERT-NER used in reference is in parantheses. For the mean inference time measure, an AMD Ryzen 5 4500U @ 2.3GHz with 6 cores was used:
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  | **model** | **time (ms)** | **PER** | **LOC** | **ORG** | **MISC** | **O** |
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  | :---------------------------------------------------------------------------------------------------------------: | :----------------: | :--------------: | :--------------: | :--------------: | :--------------: | :------------- : |