Introduction
German Named Entity Recognition model for recognizing Bavarian landmarks. Fine-tuned "bert-base-german-cased" with 6450 annotated sentences of which 1467 contained landmarks, from subtitles of videos from Bayerischer Rundfunk.
| Feature |
Description |
| Name |
de_pipeline |
| Version |
0.1.0 |
| spaCy |
>=3.3.0,<3.4.0 |
| Default Pipeline |
transformer, ner |
| Components |
transformer, ner |
| Vectors |
0 keys, 0 unique vectors (0 dimensions) |
| Sources |
n/a |
| License |
n/a |
| Author |
Constantin Förster |
Label Scheme
View label scheme (1 labels for 1 components)
Accuracy
| Type |
Score |
ENTS_F |
85.39 |
ENTS_P |
83.79 |
ENTS_R |
87.05 |
TRANSFORMER_LOSS |
4216.96 |
NER_LOSS |
78511.31 |
