metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_ner_sender
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.0004453432
- name: NER Recall
type: recall
value: 0.0015710586
- name: NER F Score
type: f_score
value: 0.000693969
| Feature | Description |
|---|---|
| Name | en_ner_sender |
| Version | 0.0.0 |
| spaCy | >=3.4.3,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 514157 keys, 20000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (1 labels for 1 components)
| Component | Labels |
|---|---|
ner |
SENDER |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
0.07 |
ENTS_P |
0.04 |
ENTS_R |
0.16 |
TOK2VEC_LOSS |
0.00 |
NER_LOSS |
17200.00 |