---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ABL_trad_2d
  results: []
---

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# ABL_trad_2d

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: 0.6368
- Accuracy: 0.7241
- F1: 0.7233

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.7939        | 1.0   | 4683  | 0.7798          | 0.6474   | 0.6450 |
| 0.7018        | 2.0   | 9366  | 0.7128          | 0.6827   | 0.6823 |
| 0.6444        | 3.0   | 14049 | 0.6770          | 0.7058   | 0.7052 |
| 0.6161        | 4.0   | 18732 | 0.6583          | 0.7154   | 0.7129 |
| 0.5789        | 5.0   | 23415 | 0.6368          | 0.7241   | 0.7233 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1