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--- |
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license: apache-2.0 |
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language: ca |
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tags: |
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- catalan |
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datasets: |
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- catalonia_independence |
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metrics: |
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- accuracy |
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model-index: |
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- name: roberta-base-ca-finetuned-mnli |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: catalonia_independence |
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type: catalonia_independence |
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args: catalan |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7611940298507462 |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: catalonia_independence |
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type: catalonia_independence |
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config: catalan |
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split: test |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7208955223880597 |
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verified: true |
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- name: Precision Macro |
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type: precision |
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value: 0.7532458247651523 |
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verified: true |
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- name: Precision Micro |
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type: precision |
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value: 0.7208955223880597 |
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verified: true |
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- name: Precision Weighted |
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type: precision |
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value: 0.7367396361532118 |
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verified: true |
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- name: Recall Macro |
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type: recall |
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value: 0.6880645531209203 |
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verified: true |
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- name: Recall Micro |
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type: recall |
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value: 0.7208955223880597 |
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verified: true |
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- name: Recall Weighted |
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type: recall |
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value: 0.7208955223880597 |
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verified: true |
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- name: F1 Macro |
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type: f1 |
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value: 0.7013044744309381 |
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verified: true |
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- name: F1 Micro |
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type: f1 |
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value: 0.7208955223880597 |
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verified: true |
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- name: F1 Weighted |
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type: f1 |
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value: 0.713640086434487 |
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verified: true |
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- name: loss |
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type: loss |
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value: 0.6895929574966431 |
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verified: true |
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widget: |
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- text: "Puigdemont, a l'estat espanyol: Quatre anys despr\xE9s, ens hem guanyat el\ |
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\ dret a dir prou" |
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- text: "Llarena demana la detenci\xF3 de Com\xEDn i Ponsat\xED aprofitant que s\xF3\ |
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n a It\xE0lia amb Puigdemont" |
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- text: "Assegura l'expert que en un 46% els catalans s'inclouen dins del que es denomina\ |
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\ com el doble sentiment identitari. \xC9s a dir, se senten tant catalans com\ |
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\ espanyols. 1 de cada cinc, en canvi, t\xE9 un sentiment excloent, nom\xE9s se\ |
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\ senten catalans, i un 4% sol espanyol." |
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--- |
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# roberta-base-ca-finetuned-catalonia-independence-detector |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6065 |
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- Accuracy: 0.7612 |
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<details> |
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## Training and evaluation data |
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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. |
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Each corpus is annotated with three classes: AGAINST, FAVOR and NEUTRAL, which express the stance towards the target - independence of Catalonia. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 377 | 0.6311 | 0.7453 | |
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| 0.7393 | 2.0 | 754 | 0.6065 | 0.7612 | |
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| 0.5019 | 3.0 | 1131 | 0.6340 | 0.7547 | |
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| 0.3837 | 4.0 | 1508 | 0.6777 | 0.7597 | |
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| 0.3837 | 5.0 | 1885 | 0.7232 | 0.7582 | |
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</details> |
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### Model in action 🚀 |
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Fast usage with **pipelines**: |
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```python |
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from transformers import pipeline |
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model_path = "JonatanGk/roberta-base-ca-finetuned-catalonia-independence-detector" |
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independence_analysis = pipeline("text-classification", model=model_path, tokenizer=model_path) |
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independence_analysis( |
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"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." |
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) |
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# Output: |
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[{'label': 'AGAINST', 'score': 0.7457581758499146}] |
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independence_analysis( |
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"Llarena demana la detenció de Comín i Ponsatí aprofitant que són a Itàlia amb Puigdemont" |
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) |
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# Output: |
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[{'label': 'NEUTRAL', 'score': 0.7436802983283997}] |
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independence_analysis( |
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"Puigdemont, a l'estat espanyol: Quatre anys després, ens hem guanyat el dret a dir prou" |
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) |
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# Output: |
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[{'label': 'FAVOR', 'score': 0.9040119647979736}] |
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``` |
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[![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) |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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## Citation |
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Thx to HF.co & [@lewtun](https://github.com/lewtun) for Dataset ;) |
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> Special thx to [Manuel Romero/@mrm8488](https://huggingface.co/mrm8488) as my mentor & R.C. |
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> Created by [Jonatan Luna](https://JonatanGk.github.io) | [LinkedIn](https://www.linkedin.com/in/JonatanGk/) |