metadata
tags:
- spacy
- token-classification
language:
- de
model-index:
- name: de_aml4tatransformer
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.7054263566
- name: NER Recall
type: recall
value: 0.6204545455
- name: NER F Score
type: f_score
value: 0.6602176542
| Feature | Description |
|---|---|
| Name | de_aml4tatransformer |
| 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 |
HARD, SOFT |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
66.02 |
ENTS_P |
70.54 |
ENTS_R |
62.05 |
TRANSFORMER_LOSS |
30835.66 |
NER_LOSS |
26615.84 |