metadata

license:
  - mit
datasets:
  - xtreme
language:
  - it
  - en
  - de
  - fr
  - es
metrics:
  - precision: 0.874
  - recall: 0.88
  - f1: 0.877
  - accuracy: 0.943

gunghio/xlm-roberta-base-finetuned-panx-ner

This model was trained starting from xlm-roberta-base on a subset of xtreme dataset.

xtreme datasets subsets used are: PAN-X.{lang}.

Only 75% of the whole dataset was used.

Intended uses & limitations

Fine-tuned model can be used for Named Entity Recognition in it, en, de, fr, and es.

Training and evaluation data

Training dataset: conll2003

Training results

It achieves the following results on the evaluation set:

Precision: 0.8744154472771157
Recall: 0.8791424269015351
F1: 0.8767725659462058
Accuracy: 0.9432040948504613

Details:

Label	Precision	Recall	F1-Score	Support
PER	0.922	0.908	0.915	26639
LOC	0.880	0.906	0.892	37623
ORG	0.821	0.816	0.818	28045
Overall	0.922	0.908	.915	26639