metadata
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_deberta_v3_base_ner_method
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.814
- name: NER Recall
type: recall
value: 0.8075396825
- name: NER F Score
type: f_score
value: 0.8107569721
base_model:
- microsoft/deberta-v3-base
pipeline_tag: token-classification
| Feature | Description |
|---|---|
| Name | en_deberta_v3_base_ner_method |
| Version | 0.1.0 |
| spaCy | >=3.8.7,<3.9.0 |
| 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 (1 labels for 1 components)
| Component | Labels |
|---|---|
ner |
METHOD |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
81.08 |
ENTS_P |
81.40 |
ENTS_R |
80.75 |
TRANSFORMER_LOSS |
104931.78 |
NER_LOSS |
178344.87 |