| { | |
| "lang":"es", | |
| "name":"pharmaconer_ner_trf", | |
| "version":"3.4.1", | |
| "description":"Basic Spacy BioNER pipeline, with a RoBERTa-based model [bsc-bio-ehr-es] (https://huggingface.co/PlanTL-GOB-ES/bsc-bio-ehr-es) and a dataset, Pharmaconer, a NER dataset annotated with substances, compounds and proteins entities. For further information, check the [official website](https://temu.bsc.es/pharmaconer/). Visit our [GitHub repository](https://github.com/PlanTL-GOB-ES/lm-biomedical-clinical-es). This work was funded by the Spanish State Secretariat for Digitalization and Artificial Intelligence (SEDIA) within the framework of the Plan-TL", | |
| "author":"The Text Mining Unit from Barcelona Supercomputing Center.", | |
| "email":"plantl-gob-es@bsc.es", | |
| "url":"https://huggingface.co/PlanTL-GOB-ES/", | |
| "license":"mit", | |
| "spacy_version":">=3.4.1,<3.5.0", | |
| "spacy_git_version":"Unknown", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "transformer":[ | |
| ], | |
| "ner":[ | |
| "NORMALIZABLES", | |
| "NO_NORMALIZABLES", | |
| "PROTEINAS", | |
| "UNCLEAR" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "components":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.9109481404, | |
| "ents_p":0.9066736184, | |
| "ents_r":0.9152631579, | |
| "ents_per_type":{ | |
| "UNCLEAR":{ | |
| "p":0.7547169811, | |
| "r":0.9090909091, | |
| "f":0.824742268 | |
| }, | |
| "NORMALIZABLES":{ | |
| "p":0.9102112676, | |
| "r":0.9365942029, | |
| "f":0.9232142857 | |
| }, | |
| "PROTEINAS":{ | |
| "p":0.915862069, | |
| "r":0.902173913, | |
| "f":0.9089664613 | |
| }, | |
| "NO_NORMALIZABLES":{ | |
| "p":0.25, | |
| "r":0.0625, | |
| "f":0.1 | |
| } | |
| }, | |
| "transformer_loss":157.1950596615, | |
| "ner_loss":224.6988260417 | |
| }, | |
| "requirements":[ | |
| "spacy-transformers>=1.1.8,<1.2.0" | |
| ] | |
| } |