---
library_name: transformers
base_model: mrm8488/electricidad-base-discriminator
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-reviews
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# clasificador-reviews

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4164
- Accuracy: 0.936

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 0.4736          | 0.829    |
| No log        | 2.0   | 250  | 0.5006          | 0.874    |
| No log        | 3.0   | 375  | 0.3260          | 0.924    |
| 0.2722        | 4.0   | 500  | 0.6942          | 0.882    |
| 0.2722        | 5.0   | 625  | 0.5629          | 0.914    |
| 0.2722        | 6.0   | 750  | 0.4100          | 0.937    |
| 0.2722        | 7.0   | 875  | 0.4178          | 0.935    |
| 0.0231        | 8.0   | 1000 | 0.3816          | 0.936    |
| 0.0231        | 9.0   | 1125 | 0.3811          | 0.939    |
| 0.0231        | 10.0  | 1250 | 0.4164          | 0.936    |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0