---
license: cc-by-4.0
base_model: dccuchile/tulio-chilean-spanish-bert
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: mutual-full-v2-preproc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mutual-full-v2-preproc

This model is a fine-tuned version of [dccuchile/tulio-chilean-spanish-bert](https://huggingface.co/dccuchile/tulio-chilean-spanish-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3775
- Accuracy: 0.9020
- Precision: 0.9022
- Recall: 0.9020
- F1: 0.9020

## 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-05
- train_batch_size: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.4642        | 0.59  | 500  | 0.3463          | 0.8608   | 0.8610    | 0.8608 | 0.8607 |
| 0.3661        | 1.17  | 1000 | 0.3150          | 0.8861   | 0.8903    | 0.8861 | 0.8858 |
| 0.2999        | 1.76  | 1500 | 0.3704          | 0.8861   | 0.8883    | 0.8861 | 0.8859 |
| 0.2378        | 2.34  | 2000 | 0.3593          | 0.9034   | 0.9036    | 0.9034 | 0.9034 |
| 0.2031        | 2.93  | 2500 | 0.3775          | 0.9020   | 0.9022    | 0.9020 | 0.9020 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2