Text classification model for threat detection in Spanish.
We define threat messages as messages containing threats, support of violence, or harm towards a person or group of people.
It is trained on the XML-RobertA (xlm-roberta-base) model with a dataset of 364.793 messages from online sources.
Parameters
"learning_rate": 1e-5,
"weight_decay": 0.01,
"opimizer": "Adam",
"eps": 1e-08,
"num_labels": 2,
"output_attentions": "True",
"output_hidden_states": "False",
"number_epoch": 3,
"batch-size": 16
