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The roberta-base-es-wikicat-es is a Text Classification model for the Catalan language fine-tuned from the roberta-base-bne model, a RoBERTa base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the roberta-base-bne model card for more details).
roberta-base-es-wikicat-es model can be used to classify texts. The model is limited by its training dataset and may not generalize well for all use cases.
Here is how to use this model:
from transformers import pipeline
from pprint import pprint
nlp = pipeline("text-classification", model="roberta-base-es-wikicat-es")
example = "Sedna es el cuerpo menor del sistema solar número 90377; concretamente es un objeto transneptuniano."
tc_results = nlp(example)
At the time of submission, no measures have been taken to estimate the bias embedded in the model. However, we are well aware that our models may be biased since the corpora have been collected using crawling techniques on multiple web sources. We intend to conduct research in these areas in the future, and if completed, this model card will be updated.
We used the TC dataset in Spanish called WikiCAT_esv2 for training and evaluation.
The model was trained with a batch size of 16 and three learning rates (1e-5, 3e-5, 5e-5) for 5 epochs. We then selected the best learning rate (2e-5) and checkpoint (epoch 3) using the downstream task metric in the corresponding development set.
This model was finetuned maximizing F1 (macro) score.
We evaluated the roberta-base-es-wikicat-es on the WikiCAT_esv2 dev set:
For more details, check the fine-tuning and evaluation scripts in the official GitHub repository.
Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (firstname.lastname@example.org)
For further information, send an email to email@example.com
Copyright (c) 2022 Text Mining Unit at Barcelona Supercomputing Center
This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA.
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The models published in this repository are intended for a generalist purpose and are available to third parties. These models may have bias and/or any other undesirable distortions.
When third parties, deploy or provide systems and/or services to other parties using any of these models (or using systems based on these models) or become users of the models, they should note that it is their responsibility to mitigate the risks arising from their use and, in any event, to comply with applicable regulations, including regulations regarding the use of Artificial Intelligence.
In no event shall the owner and creator of the models (BSC – Barcelona Supercomputing Center) be liable for any results arising from the use made by third parties of these models.
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