# elisno /is_ner_mim_trf

 1 --- 2 tags: 3 - spacy 4 - token-classification 5 language: 6 - is 7 model-index: 8 - name: is_ner_mim_trf 9  results: 10  - task: 11  name: NER 12  type: token-classification 13  metrics: 14  - name: NER Precision 15  type: precision 16  value: 0.9193318395 17  - name: NER Recall 18  type: recall 19  value: 0.9217728758 20  - name: NER F Score 21  type: f_score 22  value: 0.9205507394 23 --- 24 | Feature | Description | 25 | --- | --- | 26 | **Name** | is_ner_mim_trf | 27 | **Version** | 0.0.1 | 28 | **spaCy** | >=3.1.1,<3.2.0 | 29 | **Default Pipeline** | transformer, ner | 30 | **Components** | transformer, ner | 31 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | 32 | **Sources** | n/a | 33 | **License** | n/a | 34 | **Author** | [n/a]() | 35 36 ### Label Scheme 37 38 
39 40 View label scheme (8 labels for 1 components) 41 42 | Component | Labels | 43 | --- | --- | 44 | **ner** | Date, Location, Miscellaneous, Money, Organization, Percent, Person, Time | 45 46 
47 48 ### Accuracy 49 50 | Type | Score | 51 | --- | --- | 52 | ENTS_F | 92.06 | 53 | ENTS_P | 91.93 | 54 | ENTS_R | 92.18 | 55 | TRANSFORMER_LOSS | 248325.98 | 56 | NER_LOSS | 120059.07 |