---
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: datos-textcat
  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. -->

# datos-textcat

This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on the Consejo dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1623
- Accuracy: 0.9676

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 122  | 0.7060          | 0.8333   |
| No log        | 2.0   | 244  | 0.2884          | 0.9259   |
| No log        | 3.0   | 366  | 0.2334          | 0.9398   |
| No log        | 4.0   | 488  | 0.1797          | 0.9583   |
| 0.5069        | 5.0   | 610  | 0.1964          | 0.9676   |
| 0.5069        | 6.0   | 732  | 0.1686          | 0.9537   |
| 0.5069        | 7.0   | 854  | 0.1671          | 0.9722   |
| 0.5069        | 8.0   | 976  | 0.1634          | 0.9630   |
| 0.034         | 9.0   | 1098 | 0.1693          | 0.9676   |
| 0.034         | 10.0  | 1220 | 0.1623          | 0.9676   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2