--- 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 - task: type: text-classification name: Text Classification dataset: name: catalonia_independence type: catalonia_independence config: catalan split: test metrics: - name: Accuracy type: accuracy value: 0.4592039800995025 verified: true - name: Precision Macro type: precision value: 0.6104489964825159 verified: true - name: Precision Micro type: precision value: 0.4592039800995025 verified: true - name: Precision Weighted type: precision value: 0.6167123723406555 verified: true - name: Recall Macro type: recall value: 0.4146479268294389 verified: true - name: Recall Micro type: recall value: 0.4592039800995025 verified: true - name: Recall Weighted type: recall value: 0.4592039800995025 verified: true - name: F1 Macro type: f1 value: 0.33416407167650636 verified: true - name: F1 Micro type: f1 value: 0.4592039800995025 verified: true - name: F1 Weighted type: f1 value: 0.34549318538357193 verified: true - name: loss type: loss value: 3.393402099609375 verified: true widget: - text: "Junqueras, sobre la decisi\xF3n judicial sobre Puigdemont: La justicia que\ \ falta en el Estado llega y llegar\xE1 de Europa" - text: "Desconvocada la manifestaci\xF3n 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
## 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 |
### 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/)