bourdoiscatie/mt5_base_trim_fr_NER_3entities

Model	Parameters	Context	PER	LOC	ORG
Jean-Baptiste/camembert-ner	110M	512 tokens	0.941	0.883	0.658
cmarkea/distilcamembert-base-ner	67.5M	512 tokens	0.942	0.882	0.647
mt5_base_trim_fr_NER_3entities (this model)	110M	512 tokens	0.959	0.920	0.864
NERmembert-base-3entities	110M	512 tokens	0.966	0.940	0.876
NERmembert2-3entities	111M	1024 tokens	0.967	0.942	0.875
NERmemberta-3entities	111M	1024 tokens	0.970	0.943	0.881
Moderncamembert_3entities	136M	8192 tokens	0.969	0.944	0.881
NERmembert-large-3entities	336M	512 tokens	0.969	0.947	0.890

{'LOC': {'precision': 0.8960205391527599,
  'recall': 0.8491484184914841,
  'f1': 0.8719550281074329,
  'number': 822},
 'O': {'precision': 0.9839406105598061,
  'recall': 0.9835680751173709,
  'f1': 0.9837543075699625,
  'number': 13206},
 'ORG': {'precision': 0.8519480519480519,
  'recall': 0.8367346938775511,
  'f1': 0.8442728442728442,
  'number': 784},
 'PER': {'precision': 0.9457050243111832,
  'recall': 0.970074812967581,
  'f1': 0.9577349199835864,
  'number': 2406},
 'overall_precision': 0.9685793936578,
 'overall_recall': 0.9685793936578,
 'overall_f1': 0.9685793936578,
 'overall_accuracy': 0.9685793936578}