---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ABL_trad_2g
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ABL_trad_2g

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: 0.7368
- Accuracy: 0.7594
- F1: 0.7583

## 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: 1e-07
- 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: 16

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.7967        | 1.0   | 4683  | 0.7805          | 0.6444   | 0.6437 |
| 0.713         | 2.0   | 9366  | 0.7182          | 0.6826   | 0.6809 |
| 0.6496        | 3.0   | 14049 | 0.6774          | 0.7078   | 0.7070 |
| 0.6205        | 4.0   | 18732 | 0.6500          | 0.7190   | 0.7182 |
| 0.5875        | 5.0   | 23415 | 0.6315          | 0.7304   | 0.7296 |
| 0.5494        | 6.0   | 28098 | 0.6289          | 0.7362   | 0.7351 |
| 0.5261        | 7.0   | 32781 | 0.6281          | 0.7401   | 0.7389 |
| 0.4968        | 8.0   | 37464 | 0.6281          | 0.7454   | 0.7442 |
| 0.4478        | 9.0   | 42147 | 0.6244          | 0.7477   | 0.7459 |
| 0.4476        | 10.0  | 46830 | 0.6270          | 0.7529   | 0.7516 |
| 0.4033        | 11.0  | 51513 | 0.6414          | 0.7548   | 0.7532 |
| 0.3984        | 12.0  | 56196 | 0.6558          | 0.7570   | 0.7553 |
| 0.3577        | 13.0  | 60879 | 0.6742          | 0.7593   | 0.7584 |
| 0.353         | 14.0  | 65562 | 0.6918          | 0.7619   | 0.7611 |
| 0.3261        | 15.0  | 70245 | 0.7103          | 0.7618   | 0.7610 |
| 0.3248        | 16.0  | 74928 | 0.7368          | 0.7594   | 0.7583 |


### Framework versions

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