metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_scibert_ScienceIE
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9891304348
- name: NER Recall
type: recall
value: 0.9923664122
- name: NER F Score
type: f_score
value: 0.9907457812
| Feature | Description |
|---|---|
| Name | en_scibert_ScienceIE |
| Version | 0.0.0 |
| spaCy | >=3.1.1,<3.2.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | UBIAI (https://ubiai.tools) |
Label Scheme
View label scheme (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
MATERIAL, PROCESS, TASK |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.07 |
ENTS_P |
98.91 |
ENTS_R |
99.24 |
TRANSFORMER_LOSS |
370249.46 |
NER_LOSS |
216581.66 |