readme: ---
  tags:
  - classification
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: clasificador-muchocine
    results: []
  datasets:
  - muchocine
  language:
  - es
  ---
  
  
  
  # clasificador-muchocine
  
  This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the 'muchocine' dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3389
  - Accuracy: 0.4671
  
  ## Model description
  
  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.
  
  ## Training procedure
  
  The original dataset was randomized and subsequently split into a training set (80%) and a testing set (20%).
  
  ### 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
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | No log        | 1.0   | 388  | 1.2937          | 0.4335   |
  | 1.4261        | 2.0   | 776  | 1.2515          | 0.4839   |
  | 1.0492        | 3.0   | 1164 | 1.3389          | 0.4671   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2