---
license: apache-2.0
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-sms
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# clasificador-sms

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0286
- Accuracy: 0.9964

## Model description

Se cree que arroja un acuraccy tan bueno porque las clases están desbalanceadas, como no era el objetivo de la asignatura no se indagado más sobre este problema

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0805        | 1.0   | 627  | 0.0328          | 0.9928   |
| 0.0343        | 2.0   | 1254 | 0.0180          | 0.9964   |
| 0.0132        | 3.0   | 1881 | 0.0286          | 0.9964   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3