metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_nlp_ner_transformer_pipeline
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9959297344
- name: NER Recall
type: recall
value: 0.9981392686
- name: NER F Score
type: f_score
value: 0.9970332773
| Feature | Description |
|---|---|
| Name | en_nlp_ner_transformer_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.4.4,<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 | mak |
Label Scheme
View label scheme (7 labels for 1 components)
| Component | Labels |
|---|---|
ner |
BI Tools, Financial, HCM, Hybris, Netweaver, SAP, Supply Chain |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.70 |
ENTS_P |
99.59 |
ENTS_R |
99.81 |
TRANSFORMER_LOSS |
5936.42 |
NER_LOSS |
13605.26 |