---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ABL_trad_2e
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ABL_trad_2e

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: 0.6197
- Accuracy: 0.7492
- F1: 0.7480

## 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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.8297        | 1.0   | 2342  | 0.8006          | 0.6318   | 0.6304 |
| 0.7468        | 2.0   | 4684  | 0.7369          | 0.6706   | 0.6685 |
| 0.6876        | 3.0   | 7026  | 0.6962          | 0.6913   | 0.6901 |
| 0.6548        | 4.0   | 9368  | 0.6739          | 0.7015   | 0.7009 |
| 0.61          | 5.0   | 11710 | 0.6597          | 0.7134   | 0.7111 |
| 0.5775        | 6.0   | 14052 | 0.6422          | 0.7219   | 0.7203 |
| 0.5592        | 7.0   | 16394 | 0.6298          | 0.7279   | 0.7264 |
| 0.5441        | 8.0   | 18736 | 0.6221          | 0.7346   | 0.7339 |
| 0.5191        | 9.0   | 21078 | 0.6182          | 0.7389   | 0.7373 |
| 0.4999        | 10.0  | 23420 | 0.6229          | 0.7442   | 0.7423 |
| 0.4797        | 11.0  | 25762 | 0.6259          | 0.7436   | 0.7426 |
| 0.4584        | 12.0  | 28104 | 0.6197          | 0.7492   | 0.7480 |


### Framework versions

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