|
--- |
|
tags: |
|
- spacy |
|
- token-classification |
|
language: |
|
- multilingual |
|
model-index: |
|
- name: xx_LeetSpeakNER_mstsb_mpnet |
|
results: |
|
- task: |
|
name: NER |
|
type: token-classification |
|
metrics: |
|
- name: NER Precision |
|
type: precision |
|
value: 0.912373549 |
|
- name: NER Recall |
|
type: recall |
|
value: 0.9160452962 |
|
- name: NER F Score |
|
type: f_score |
|
value: 0.9142057358 |
|
--- |
|
| Feature | Description | |
|
| --- | --- | |
|
| **Name** | `xx_LeetSpeakNER_mstsb_mpnet` | |
|
| **Version** | `0.0.0` | |
|
| **spaCy** | `>=3.4.3,<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]() | |
|
|
|
|
|
### Usage |
|
|
|
```python |
|
### UPDATE INSTALLATION WITH PACKAGE NAME |
|
!pip install "xx_LeetSpeakNER_mstsb_mpnet @ https://huggingface.co/Huertas97/xx_LeetSpeakNER_mstsb_mpnet/resolve/main/xx_LeetSpeakNER_mstsb_mpnet-any-py3-none-any.whl" |
|
|
|
# Using spacy.load(). |
|
import spacy |
|
nlp = spacy.load("xx_LeetSpeakNER_mstsb_mpnet") |
|
|
|
# Importing as module. |
|
import xx_LeetSpeakNER_mstsb_mpnet |
|
nlp = xx_LeetSpeakNER_mstsb_mpnet.load() |
|
``` |
|
|
|
### Label Scheme |
|
|
|
<details> |
|
|
|
<summary>View label scheme (4 labels for 1 components)</summary> |
|
|
|
| Component | Labels | |
|
| --- | --- | |
|
| **`ner`** | `INV_CAMO`, `LEETSPEAK`, `MIX`, `PUNCT_CAMO` | |
|
|
|
</details> |
|
|
|
### Accuracy |
|
|
|
| Type | Score | |
|
| --- | --- | |
|
| `ENTS_F` | 91.42 | |
|
| `ENTS_P` | 91.24 | |
|
| `ENTS_R` | 91.60 | |
|
| `TRANSFORMER_LOSS` | 396910.59 | |
|
| `NER_LOSS` | 373097.06 | |
