This model is a fine-tuned version of
RogerB/afro-xlmr-large-finetuned-kintweetsD on the None dataset.
It achieves the following results on the evaluation set:
The model was trained and evaluated on a Kinyarwanda sentiment analysis dataset of tweets created by
Muhammad et al.
It classifies Kinyarwanda sentences into three categories: positive (0), neutral (1), and negative (2).
The model is specifically designed for classifying Kinyarwanda sentences, with a focus on Kinyarwanda tweets.
The training data used for training the model were a combination of the
train set from Muhammad et al and the
val set from Muhammad et al , which served as the validation data during the training process.
For evaluating the model's performance, the test data used were sourced from the
test set from Muhammad et al
