File size: 1,086 Bytes
5db909f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | ---
tags:
- spacy
- token-classification
language:
- tl
model-index:
- name: tl_custom_spacy
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.951896754
- name: NER Recall
type: recall
value: 0.9489278752
- name: NER F Score
type: f_score
value: 0.9504099961
---
| Feature | Description |
| --- | --- |
| **Name** | `tl_custom_spacy` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.8.14,<3.9.0` |
| **Default Pipeline** | `tok2vec`, `ner` |
| **Components** | `tok2vec`, `ner` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |
### Label Scheme
<details>
<summary>View label scheme (4 labels for 1 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 95.04 |
| `ENTS_P` | 95.19 |
| `ENTS_R` | 94.89 |
| `TOK2VEC_LOSS` | 46129.63 |
| `NER_LOSS` | 16188.62 | |