---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: bryan-NM
  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. -->

# bryan-NM

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7199
- Accuracy: 0.5748
- F1: 0.5605
- Precision: 0.5671
- Recall: 0.5748

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.7351        | 1.0   | 3538  | 1.7392          | 0.5337   | 0.4912 | 0.4894    | 0.5337 |
| 1.437         | 2.0   | 7076  | 1.5840          | 0.5612   | 0.5349 | 0.5385    | 0.5612 |
| 1.2189        | 3.0   | 10614 | 1.5880          | 0.5726   | 0.5404 | 0.5349    | 0.5726 |
| 1.0029        | 4.0   | 14152 | 1.6101          | 0.5782   | 0.5657 | 0.5679    | 0.5782 |
| 0.8513        | 5.0   | 17690 | 1.7199          | 0.5748   | 0.5605 | 0.5671    | 0.5748 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2