This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the 'muchocine' dataset. It achieves the following results on the evaluation set:
- Loss: 1.3389
- Accuracy: 0.4671
This model predicts a 1-5 star_rating for a movie based on a short review in Spanish.
Training and evaluation data
The model uses the train split of the 'muchocine' dataset, containing 3,872 reviews.
The original dataset was randomized and subsequently split into a training set (80%) and a testing set (20%).
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
- lr_scheduler_type: linear
- num_epochs: 3.0
|Training Loss||Epoch||Step||Validation Loss||Accuracy|
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
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This model can be loaded on the Inference API on-demand.