readme: ---
  license: apache-2.0
  language: ca
  tags:
  - "catalan"
  datasets:
  - catalonia_independence
  metrics:
  - accuracy
  model-index:
  - name: roberta-base-ca-finetuned-mnli
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: catalonia_independence
        type: catalonia_independence
        args: catalan
      metrics:
      - name: Accuracy
        type: accuracy
        value: 0.7611940298507462
  widget:
   - text: "Puigdemont, a l'estat espanyol: Quatre anys després, ens hem guanyat el dret a dir prou"
   - text: "Llarena demana la detenció de Comín i Ponsatí aprofitant que són a Itàlia amb Puigdemont"
   - text: "Assegura l'expert que en un 46% els catalans s'inclouen dins del que es denomina com el doble sentiment identitari. És a dir, se senten tant catalans com espanyols. 1 de cada cinc, en canvi, té un sentiment excloent, només se senten catalans, i un 4% sol espanyol."
  ---
  
  # roberta-base-ca-finetuned-catalonia-independence-detector
  
  This model is a fine-tuned version of [BSC-TeMU/roberta-base-ca](https://huggingface.co/BSC-TeMU/roberta-base-ca) on the catalonia_independence dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6065
  - Accuracy: 0.7612
  
  <details>
  
  ## Training and evaluation data
  
  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   | 377  | 0.6311          | 0.7453   |
  | 0.7393        | 2.0   | 754  | 0.6065          | 0.7612   |
  | 0.5019        | 3.0   | 1131 | 0.6340          | 0.7547   |
  | 0.3837        | 4.0   | 1508 | 0.6777          | 0.7597   |
  | 0.3837        | 5.0   | 1885 | 0.7232          | 0.7582   |
  
  
  </details>
  
  ### Model in action 🚀
  
  Fast usage with **pipelines**:
  
  ```python
  
  from transformers import pipeline
  
  model_path = "JonatanGk/roberta-base-ca-finetuned-catalonia-independence-detector"
  independence_analysis = pipeline("text-classification", model=model_path, tokenizer=model_path)
  
  independence_analysis(
      "Assegura l'expert que en un 46% els catalans s'inclouen dins del que es denomina com el doble sentiment identitari. És a dir, se senten tant catalans com espanyols. 1 de cada cinc, en canvi, té un sentiment excloent, només se senten catalans, i un 4% sol espanyol."
      )
  # Output:
  [{'label': 'AGAINST', 'score': 0.7457581758499146}]
  
  independence_analysis(
      "Llarena demana la detenció de Comín i Ponsatí aprofitant que són a Itàlia amb Puigdemont"
      )
  # Output:
  [{'label': 'NEUTRAL', 'score': 0.7436802983283997}] 
      
  independence_analysis(
      "Puigdemont, a l'estat espanyol: Quatre anys després, ens hem guanyat el dret a dir prou"
      )
  # Output:
  [{'label': 'FAVOR', 'score': 0.9040119647979736}]
  
  
  ```
  
  [![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_(CATALAN).ipynb#scrollTo=j29NHJtOyAVU)
  
  
  ### 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/)