| Feature | Description |
|---|---|
| Name | en_cardb |
| 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 | n/a |
Label Scheme
View label scheme (3 labels for 1 components)
| Component | Labels |
|---|---|
ner |
antineoplastic, cancertype, carcinogen |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
96.29 |
ENTS_P |
95.85 |
ENTS_R |
96.73 |
TRANSFORMER_LOSS |
63857.68 |
NER_LOSS |
42226.48 |
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Evaluation results
- NER Precisionself-reported0.958
- NER Recallself-reported0.967
- NER F Scoreself-reported0.963
!pip install https://huggingface.co/jimnoneill/en_cardb/resolve/main/en_cardb-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_cardb") # Importing as module. import en_cardb nlp = en_cardb.load()