---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: consejo-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. -->

# consejo-textcat

This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1062
- Accuracy: 0.9851

## 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   | 38   | 1.1395          | 0.5672   |
| No log        | 2.0   | 76   | 0.6276          | 0.8358   |
| No log        | 3.0   | 114  | 0.3375          | 0.9552   |
| No log        | 4.0   | 152  | 0.1894          | 0.9851   |
| No log        | 5.0   | 190  | 0.1331          | 0.9851   |
| No log        | 6.0   | 228  | 0.1223          | 0.9851   |
| No log        | 7.0   | 266  | 0.1104          | 0.9851   |
| No log        | 8.0   | 304  | 0.1079          | 0.9851   |
| No log        | 9.0   | 342  | 0.1064          | 0.9851   |
| No log        | 10.0  | 380  | 0.1062          | 0.9851   |


### Framework versions

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