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---
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
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