metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_spacy_distilroberta_base_acronym_detection
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9253350351
- name: NER Recall
type: recall
value: 0.9138655462
- name: NER F Score
type: f_score
value: 0.9195645281
| Feature | Description |
|---|---|
| Name | en_spacy_distilroberta_base_acronym_detection |
| 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 | n/a |
Label Scheme
View label scheme (2 labels for 1 components)
| Component | Labels |
|---|---|
ner |
long, short |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
91.96 |
ENTS_P |
92.53 |
ENTS_R |
91.39 |
TRANSFORMER_LOSS |
131333.95 |
NER_LOSS |
569698.70 |