metadata
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 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