--- tags: - spacy - token-classification language: - it model-index: - name: nerIta 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` | | **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
View label scheme (19 labels) 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 |
### Accuracy | Type | Score | | --- | --- | | `ENTS_F` | 90.05 | | `ENTS_P` | 89.90 | | `ENTS_R` | 90.20 | | `TOK2VEC_LOSS` | 65769.53 | | `NER_LOSS` | 7865.95 |