metadata
tags:
- spacy
- token-classification
language:
- multilingual
model-index:
- name: xx_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9200034895
- name: NER Recall
type: recall
value: 0.918641115
- name: NER F Score
type: f_score
value: 0.9193217975
| Feature | Description |
|---|---|
| Name | xx_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.4.3,<3.5.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
INV_CAMO, LEETSPEAK, MIX, PUNCT_CAMO |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
91.93 |
ENTS_P |
92.00 |
ENTS_R |
91.86 |
TRANSFORMER_LOSS |
382037.26 |
NER_LOSS |
320041.67 |