metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_spacy_bert_small_ner
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9214261575
- name: NER Recall
type: recall
value: 0.9177044766
- name: NER F Score
type: f_score
value: 0.9195615514
datasets:
- conllpp
| Feature | Description |
|---|---|
| Name | en_spacy_bert_small_ner |
| Version | 0.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | Abdulla Al Nuaimi |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC, MISC, ORG, PER |
Accuracy (Validation)
| Type | Score |
|---|---|
ENTS_F |
91.96 |
ENTS_P |
92.14 |
ENTS_R |
91.77 |
TRANSFORMER_LOSS |
44301.15 |
NER_LOSS |
117885.17 |