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

# roberta-academic

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: 0.1070
- Accuracy: 0.9692
- F1: 0.9687
- Precision: 0.9692
- Recall: 0.9692

## 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: 5e-05
- train_batch_size: 34
- eval_batch_size: 34
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.3143        | 1.0   | 10831 | 0.2892          | 0.9106   | 0.9070 | 0.9137    | 0.9106 |
| 0.2042        | 2.0   | 21662 | 0.1880          | 0.9388   | 0.9366 | 0.9415    | 0.9388 |
| 0.121         | 3.0   | 32493 | 0.1437          | 0.9552   | 0.9545 | 0.9560    | 0.9552 |
| 0.0843        | 4.0   | 43324 | 0.1152          | 0.9655   | 0.9651 | 0.9658    | 0.9655 |
| 0.049         | 5.0   | 54155 | 0.1070          | 0.9692   | 0.9687 | 0.9692    | 0.9692 |


### Framework versions

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