{
  "lang":"es",
  "name":"cantemist_ner_trf",
  "version":"3.4.0",
  "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, CANTEMIST, annotated with tumor morphology entities. For further information, check the  [official website](https://temu.bsc.es/cantemist/). 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":"[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)",
  "spacy_version":">=3.4.0,<3.5.0",
  "spacy_git_version":"Unknown",
  "vectors":{
    "width":0,
    "vectors":0,
    "keys":0,
    "name":null
  },
  "labels":{
    "transformer":[

    ],
    "ner":[
      "MORFOLOGIA_NEOPLASIA"
    ]
  },
  "pipeline":[
    "transformer",
    "ner"
  ],
  "components":[
    "transformer",
    "ner"
  ],
  "disabled":[

  ],
  "performance":{
    "ents_f":0.8451798075,
    "ents_p":0.8487622923,
    "ents_r":0.8416274378,
    "ents_per_type":{
      "MORFOLOGIA_NEOPLASIA":{
        "p":0.8487622923,
        "r":0.8416274378,
        "f":0.8451798075
      }
    },
    "transformer_loss":256.4677646511,
    "ner_loss":96.2283862055
  },
  "requirements":[
    "spacy-transformers>=1.1.8,<1.2.0"
  ]
}