This model is a fine-tuned version of 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

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 for Dataset ;)

Special thx to Manuel Romero/@mrm8488 as my mentor & R.C.

Created by Jonatan Luna | LinkedIn