readme: ---
  license: apache-2.0
  ---
  
  # Unam_tesis_ROBERTA_GOB_finnetuning: Unam's thesis classification with PlanTL-GOB-ES/roberta-large-bne
  
  
  This model is created from the finetuning of the pre-model
  for RoBERTa large trained with data from the National Library of Spain (BNE) [
  PlanTL-GOB-ES] (https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne), using PyTorch framework, 
  and trained with a set of theses of the National Autonomous University of Mexico  [UNAM](https://tesiunam.dgb.unam.mx/F?func=find-b-0&local_base=TES01). 
  The model classifies for five (Psicología, Derecho, Química Farmacéutico Biológica, Actuaría, Economía) 
  possible careers at the University of Mexico.
  List of careers from a text.
  
  ## Training Dataset 
  
  1000 documents (Thesis introduction, Author´s first name, Author´s last name, Thesis title, Year, Career )
  
  |     Careers |  Size         | 
  |--------------|----------------------|
  |  Actuaría   |  200    | 
  |  Derecho|   200    | 
  |  Economía|   200    | 
  |  Psicología|   200    | 
  |  Química Farmacéutico Biológica|   200    | 
  
  
  ## Example of use
  
  For further details on how to use unam_tesis_ROBERTA_GOB_finnetuning you can visit the Huggingface Transformers library, starting with the Quickstart section. Unam_tesis models can be accessed simply as 'hackathon-pln-e/unam_tesis_beto_finnetuning' by using the Transformers library. An example of how to download and use the models on this page can be found in this colab notebook. 
  ```python
  
   tokenizer = AutoTokenizer.from_pretrained('PlanTL-GOB-ES/roberta-large-bne', use_fast=False)
   model = AutoModelForSequenceClassification.from_pretrained(
                     'hackathon-pln-e/unam_tesis_ROBERTA_GOB_finnetuning', num_labels=5, output_attentions=False,
                    output_hidden_states=False)
   pipe = TextClassificationPipeline(model=model, tokenizer=tokenizer, return_all_scores=True)
   
   classificationResult = pipe("El objetivo de esta tesis es elaborar un estudio de las condiciones asociadas al aprendizaje desde casa")
  
  ```
  
  To cite this resource in a publication please use the following:
  
  
  ## Citation
  
  [UNAM's Tesis with PlanTL-GOB-ES/roberta-large-bne ](https://huggingface.co/hackathon-pln-es/unam_tesis_ROBERTA_GOB_finnetuning)
  
  To cite this resource in a publication please use the following:
  
  ```
  @inproceedings{SpanishNLPHackaton2022,
    title={Unam's thesis with PlanTL-GOB-ES/roberta-large-bne classify },
    author={López López, Isaac Isaías and López Ramos, Dionis and Clavel Quintero, Yisel and López López, Ximena Yeraldin },
    booktitle={Somos NLP Hackaton 2022},
    year={2022}
  }
  ```
  
  
  ## Team members
  - Isaac Isaías López López ([MajorIsaiah](https://huggingface.co/MajorIsaiah))
  - Dionis López Ramos ([inoid](https://huggingface.co/inoid))
  - Yisel Clavel Quintero ([clavel](https://huggingface.co/clavel))
  - Ximyer Yeraldin López López ([Ximyer](https://huggingface.co/Ximyer))
  