readme: ---
  license: apache-2.0
  language: es
  tags:
  - "spanish"
  datasets:
  - catalonia_independence
  metrics:
  - accuracy
  model-index:
  - name: roberta-base-bne-finetuned-mnli
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: catalonia_independence
        type: catalonia_independence
        args: spanish
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.7880893300248138
  widget:
   - text: "Junqueras, sobre la decisión judicial sobre Puigdemont: La justicia que falta en el Estado llega y llegará de Europa"
   - text: "Desconvocada la manifestación del domingo en Barcelona en apoyo a Puigdemont"
  ---
  
  # roberta-base-bne-finetuned-catalonia-independence-detector
  
  This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the catalonia_independence dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9415
  - Accuracy: 0.7881
  
  <details>
  
  ## Model description
  
  The data was collected over 12 days during February and March of 2019 from tweets posted in Barcelona, and during September of 2018 from tweets posted in the town of Terrassa, Catalonia.
  Each corpus is annotated with three classes: AGAINST, FAVOR and NEUTRAL, which express the stance towards the target - independence of Catalonia.
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 378  | 0.5534          | 0.7558   |
  | 0.6089        | 2.0   | 756  | 0.5315          | 0.7643   |
  | 0.2678        | 3.0   | 1134 | 0.7336          | 0.7816   |
  | 0.0605        | 4.0   | 1512 | 0.8809          | 0.7866   |
  | 0.0605        | 5.0   | 1890 | 0.9415          | 0.7881   |
  
  </details>
  
  ### Model in action 🚀
  
  Fast usage with **pipelines**:
  
  ```python
  
  from transformers import pipeline
  
  model_path = "JonatanGk/roberta-base-bne-finetuned-catalonia-independence-detector"
  independence_analysis = pipeline("text-classification", model=model_path, tokenizer=model_path)
  
  independence_analysis(
      "Junqueras, sobre la decisión judicial sobre Puigdemont: La justicia que falta en el Estado llega y llegará de Europa"
      )
  
  # Output:
  [{'label': 'FAVOR', 'score': 0.9936726093292236}]
  
  independence_analysis(
      "El desafío independentista queda adormecido, y eso que el Gobierno ha sido muy claro en que su propuesta para Cataluña es una agenda de reencuentro, centrada en inversiones e infraestructuras")
  
  # Output:
  [{'label': 'AGAINST', 'score': 0.7508948445320129}]
  
  independence_analysis(
      "Desconvocada la manifestación del domingo en Barcelona en apoyo a Puigdemont"
      )
  
  # Output:
  [{'label': 'NEUTRAL', 'score': 0.9966907501220703}]
  
  ```
  
  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JonatanGk/Shared-Colab/blob/master/Catalonia_independence_Detector_(SPANISH).ipynb#scrollTo=uNMOXJz38W6U)
  
  ### Framework versions
  
  - Transformers 4.11.3
  - Pytorch 1.9.0+cu111
  - Datasets 1.12.1
  - Tokenizers 0.10.3
  
  ## Citation
  Thx to HF.co & [@lewtun](https://github.com/lewtun) for Dataset ;)
  
  
  > Special thx to [Manuel Romero/@mrm8488](https://huggingface.co/mrm8488) as my mentor & R.C.
  
  > Created by [Jonatan Luna](https://JonatanGk.github.io) | [LinkedIn](https://www.linkedin.com/in/JonatanGk/)