{
  "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"
  ]
}