---
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: FNST_trad_2f
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# FNST_trad_2f

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: 0.8298
- Accuracy: 0.6851
- F1: 0.6776

## 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: 5e-06
- 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: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.9535        | 1.0   | 3125  | 0.9298          | 0.5950   | 0.5843 |
| 0.8929        | 2.0   | 6250  | 0.8737          | 0.6295   | 0.6198 |
| 0.8234        | 3.0   | 9375  | 0.8473          | 0.6410   | 0.6317 |
| 0.7857        | 4.0   | 12500 | 0.8264          | 0.6522   | 0.6455 |
| 0.7489        | 5.0   | 15625 | 0.8219          | 0.6506   | 0.6439 |
| 0.7072        | 6.0   | 18750 | 0.8138          | 0.6601   | 0.6546 |
| 0.7025        | 7.0   | 21875 | 0.8109          | 0.6641   | 0.6607 |
| 0.6646        | 8.0   | 25000 | 0.8130          | 0.6698   | 0.6643 |
| 0.6557        | 9.0   | 28125 | 0.8014          | 0.6745   | 0.6679 |
| 0.6114        | 10.0  | 31250 | 0.8153          | 0.6745   | 0.6681 |
| 0.6065        | 11.0  | 34375 | 0.8258          | 0.6815   | 0.6738 |
| 0.5733        | 12.0  | 37500 | 0.8298          | 0.6851   | 0.6776 |


### Framework versions

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