This model enables the classification of user movie reviews written in Spanish into 5 categories corresponding to the number of stars provided in the review (label_0 corresponds to 1 star and label_4 to 5 stars)
Intended uses & limitations
Please, note that this model has been trained with a Spanish dataset and may therefore not be suitable for classifying texts written in other languages. Also, note that the achieved accuracy in the evaluation tests is around 43%.
Training and evaluation data
The dataset employed was randomly divided for the following purposes: 80% training data - 20% test data.
Training procedure
The model has been trained following a 3-epoch cycle.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
