File size: 1,335 Bytes
bc3cacc |
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 57 58 59 60 61 62 |
---
tags:
- spacy
- token-classification
language:
- en
model-index:
- name: en_nerry_rel_trf_sentBert
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9259259259
- name: NER Recall
type: recall
value: 1.0
- name: NER F Score
type: f_score
value: 0.9615384615
---
RE with transformer (sentence bert)
| Feature | Description |
| --- | --- |
| **Name** | `en_nerry_rel_trf_sentBert` |
| **Version** | `2.1.0` |
| **spaCy** | `>=3.6.1,<3.7.0` |
| **Default Pipeline** | `transformer`, `ner`, `relation_extractor` |
| **Components** | `transformer`, `ner`, `relation_extractor` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [HjAnthony]() |
### Label Scheme
<details>
<summary>View label scheme (4 labels for 2 components)</summary>
| Component | Labels |
| --- | --- |
| **`ner`** | `CRIME`, `PERSON`, `PROCECUTION` |
| **`relation_extractor`** | `INVOVLED_IN` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 96.15 |
| `ENTS_P` | 92.59 |
| `ENTS_R` | 100.00 |
| `REL_MICRO_P` | 88.24 |
| `REL_MICRO_R` | 100.00 |
| `REL_MICRO_F` | 93.75 |
| `TRANSFORMER_LOSS` | 0.00 |
| `RELATION_EXTRACTOR_LOSS` | 366.91 | |