---
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 star_rating for a movie based on a summarized review in Spanish


## Training and evaluation data

The model uses the train split of the muchocine dataset, containing 3,872 reviews.

## Training procedure

The 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