---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- f1
- recall
model-index:
- name: bert-base-spanish-wwm-cased
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-spanish-wwm-cased

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9387
- F1 Macro: 0.8879
- F1: 0.9207
- F1 Neg: 0.8551
- Acc: 0.8975
- Prec: 0.9015
- Recall: 0.9407
- Mcc: 0.7774

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
| 0.2306        | 1.0   | 2061  | 0.5481          | 0.8775   | 0.9167 | 0.8382 | 0.89   | 0.88   | 0.9565 | 0.7614 |
| 0.0717        | 2.0   | 4122  | 0.7879          | 0.8615   | 0.8903 | 0.8328 | 0.8675 | 0.9348 | 0.8498 | 0.7293 |
| 0.0203        | 3.0   | 6183  | 0.9309          | 0.8795   | 0.9105 | 0.8485 | 0.8875 | 0.916  | 0.9051 | 0.7591 |
| 0.0146        | 4.0   | 8244  | 0.9387          | 0.8879   | 0.9207 | 0.8551 | 0.8975 | 0.9015 | 0.9407 | 0.7774 |
| 0.0103        | 5.0   | 10305 | 1.0163          | 0.8774   | 0.9126 | 0.8421 | 0.8875 | 0.8969 | 0.9289 | 0.7558 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2