---
base_model: dccuchile/distilbert-base-spanish-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ClasificadorMotivoMoraDistilEspanol
  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. -->

# ClasificadorMotivoMoraDistilEspanol

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: 2.1390
- Accuracy: 0.3156

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.293         | 1.0   | 240  | 2.4308          | 0.1860   |
| 1.1898        | 2.0   | 480  | 2.3413          | 0.2458   |
| 1.0891        | 3.0   | 720  | 2.2071          | 0.3123   |
| 1.0254        | 4.0   | 960  | 2.1390          | 0.3156   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1