Update README.md

README.md

@@ -8,7 +8,7 @@ pipeline_tag: token-classification
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
-This model aims to recognise occupation mentions (NER) in Spanish clinical notes and to whom the occupation belongs.
+These model aim to recognise occupation mentions (NER) in Spanish clinical notes and to whom the occupation belongs.
 
 ## Model Details
 
@@ -51,11 +51,11 @@ This model aims to recognise occupation mentions (NER) in Spanish clinical notes
 
 PlanTL-GOB-ES/roberta-base-biomedical-es model was fine-tuned using MEDDOPROF corpus (Salvador Lima-López, Eulàlia Farré-Maduell, Antonio Miranda-Escalada, Vicent Briva-Iglesias, & Martin Krallinger. (2022). MEDDOPROF corpus: complete gold standard annotations for occupation detection in medical documents in Spanish [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7116201)
 
-Two models were built: A model for occupation recognition and a model to detect to whom the profession belongs.
+Two models were built: A model for occupation recognition (MEDDO_FINAL_ROBERTA_ner_sentencia_510_8_10_2e-05_1e-08) and a model to detect to whom the profession belongs (MEDDO_FINAL_ROBERTA_class_sentencia_510_8_10_2e-05_1e-08).
+
 More details about this can be found in MEDDOPROF shared task:
 Lima-López, S., Farré-Maduell, E., Miranda-Escalada, A., Brivá-Iglesias, V., & Krallinger, M. (2021). Nlp applied to occupational health: Meddoprof shared task at iberlef 2021 on automatic recognition, classification and normalization of professions and occupations from medical texts. Procesamiento del Lenguaje Natural, 67, 243-256.
 
-
 - **Developed by:** Alfredo Madrid
 - **Language(s) (NLP):** Spanish
 - **License:** CC BY-SA 4.0