| Feature | Description |
|---|---|
| Name | en_roberta_base_leetspeak_ner |
| Version | 0.0.0 |
| spaCy | >=3.2.1,<3.3.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | roberta-base pre-trained model on English language using a masked language modeling (MLM) objective by Yinhan Liu et al. LeetSpeak-NER app where this model is in production for countering information disorders |
| License | Apache 2.0 |
| Author | Álvaro Huertas García at AI+DA |
Label Scheme
View label scheme (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
INV_CAMO, LEETSPEAK, MIX, PUNCT_CAMO |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
82.80 |
ENTS_P |
79.66 |
ENTS_R |
86.20 |
TRANSFORMER_LOSS |
177808.42 |
NER_LOSS |
608427.31 |
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Evaluation results
- NER Precisionself-reported0.797
- NER Recallself-reported0.862
- NER F Scoreself-reported0.828