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No, I did no try to finetune FlauBERT. This model came a bit later and I was already satisfied with the results of CamemBERT.
I did not experienced any issue with the TF implementation, as my validation nicely converged to >97%.
I however compared the results they reported in their paper with those of my model in this section. On their FLUE task, my CamemBERT model (trained on movie reviews) performs better than FlauBERT, even though their model was specifically trained for this task. So I would say that both models have comparable performance, it's more about the dataset they are trained on.
Have you compared the results on the analysis of French sentiment with BERT, based on FlauBERT?
Rem: The CamemBERT algorithm seems to have learning problems with the Tensorflow library: Github Issue
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