README.md

---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- f1
- recall
model-index:
- name: PAN-2024-transformer-base_bert-base-spanish-wwm-cased_K2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# PAN-2024-transformer-base_bert-base-spanish-wwm-cased_K2

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: 0.6218
- F1 Macro: 0.3333
- F1: 0.6667
- F1 Neg: 0.0
- Acc: 0.5
- Prec: 0.5
- Recall: 1.0
- Mcc: 0.0

## 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
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc | Prec | Recall | Mcc |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---:|:----:|:------:|:---:|
| No log        | 1.0   | 1    | 0.6218          | 0.3333   | 0.6667 | 0.0    | 0.5 | 0.5  | 1.0    | 0.0 |
| No log        | 2.0   | 2    | 0.6680          | 0.3333   | 0.6667 | 0.0    | 0.5 | 0.5  | 1.0    | 0.0 |
| No log        | 3.0   | 3    | 0.6844          | 0.3333   | 0.6667 | 0.0    | 0.5 | 0.5  | 1.0    | 0.0 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2