metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_abbreviation_detection_roberta_lar
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9611772641
- name: NER Recall
type: recall
value: 0.9446958783
- name: NER F Score
type: f_score
value: 0.9528653083
| Feature | Description |
|---|---|
| Name | en_abbreviation_detection_roberta_lar |
| Version | 0.0.0 |
| spaCy | >=3.2.1,<3.3.0 |
| 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 (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
AC, LF, O |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
95.29 |
ENTS_P |
96.12 |
ENTS_R |
94.47 |
TRANSFORMER_LOSS |
287952.16 |
NER_LOSS |
608954.79 |