This might be because you are still using the --base-model parameter, while I don't ! I should have added this, but the only place a model is specified in my case is there :
[components.ner.model.tok2vec]
@architectures = "spacy-transformers.Tok2VecTransformer.v3"
name = "camembert-base" # this here is the huggingface model to use
grad_factor = 1.0
mixed_precision = false
pooling = {"@layers":"reduce_mean.v1"}
inside the configuration file you specified ! I am not an expert but I think you can specify any kind of spacy model you have at your disposal ! I do not use a base model anymore, and that was what solved my problem.