---
base_model: dccuchile/albert-base-spanish
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: albert-model-mesa-ayuda
  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. -->

# albert-model-mesa-ayuda

This model is a fine-tuned version of [dccuchile/albert-base-spanish](https://huggingface.co./dccuchile/albert-base-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3099
- Accuracy: 0.9162
- F1: 0.9148
- Precision: 0.9156
- Recall: 0.9162

## 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: 28
- eval_batch_size: 28
- 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     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.8309        | 1.0   | 3419  | 0.8166          | 0.7809   | 0.7698 | 0.7813    | 0.7809 |
| 0.4419        | 2.0   | 6838  | 0.4836          | 0.8622   | 0.8571 | 0.8616    | 0.8622 |
| 0.2584        | 3.0   | 10257 | 0.3691          | 0.8913   | 0.8881 | 0.8913    | 0.8913 |
| 0.137         | 4.0   | 13676 | 0.3205          | 0.9093   | 0.9076 | 0.9078    | 0.9093 |
| 0.0609        | 5.0   | 17095 | 0.3099          | 0.9162   | 0.9148 | 0.9156    | 0.9162 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2