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---
tags:
- spacy
- token-classification
language:
- it
model-index:
- name: nerIta_trf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8990228013
- name: NER Recall
type: recall
value: 0.9019607843
- name: NER F Score
type: f_score
value: 0.9004893964
widget:
- text: "Mi chiamo Sarah e vivo a Londra"
- text: "Il Regolamento (UE) n. 1245/2020 modifica gli allegati I, II, IV e V del Regolamento cardine relativo ai MOCA in materiale plastico (Materiali e Oggetti destinati a venire in Contatto con prodotti Alimentari), ovvero il Regolamento (UE) n. 10/2011."
---
| Feature | Description |
| --- | --- |
| **Name** | `nerIta_trf` |
| **Version** | `0.0.0` |
| **spaCy** | `>=3.2.1,<3.3.0` |
| **Default Pipeline** | `transformer`, `ner` |
| **Components** | `transformer`, `ner` |
| **Based on transformer** | `bullmount/hseBert-it-cased` |
| **Sources** | n/a |
| **License** | n/a |
| **Author** | [n/a]() |
### Label Scheme
<details>
<summary>View label scheme (19 labels)</summary>
Predicts 18 tags:
| **tag** | **meaning** |
|---------------------------------|-----------|
| PER | People, including fictional. |
| NORP | Nationalities or religious or political groups. |
| ORG | Companies, agencies, institutions, etc. |
| GPE | Countries, cities, states. |
| LOC | Non-GPE locations, mountain ranges, bodies of water. |
| DATE | Absolute or relative dates or periods. |
| MONEY | Monetary values, including unit. |
| FAC | Buildings, airports, highways, bridges, etc. |
| PRODUCT | Objects, vehicles, foods, etc. (Not services.) |
| EVENT | Named hurricanes, battles, wars, sports events, etc. |
| WORK_OF_ART | Titles of books, songs, etc. |
| LAW | Named documents made into laws. |
| LANGUAGE | Any named language. |
| TIME | Times smaller than a day. |
| PERCENT | Percentage, including "%". |
| QUANTITY | Measurements, as of weight or distance.|
| ORDINAL | "first", "second", etc.|
| CARDINAL | Numerals that do not fall under another type. |
| MISC | other name |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `ENTS_F` | 90.05 |
| `ENTS_P` | 89.90 |
| `ENTS_R` | 90.20 |
| `TOK2VEC_LOSS` | 65769.53 |
| `NER_LOSS` | 7865.95 | |