---
base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
model-index:
- name: bert-base-spanish-finetuned-class
  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. -->

# bert-base-spanish-finetuned-class

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9502
- F1: 0.6807
- Recall: 0.6836
- Accuracy: 0.7034

## 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: 7.025657733905982e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 173
- distributed_type: multi-GPU
- 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 | F1     | Recall | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|
| No log        | 1.0   | 348  | 0.8656          | 0.6480 | 0.6829 | 0.6688   |
| 0.8519        | 2.0   | 696  | 0.8539          | 0.6710 | 0.6902 | 0.6897   |
| 0.4273        | 3.0   | 1044 | 0.9502          | 0.6807 | 0.6836 | 0.7034   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0