---
license: cc-by-4.0
tags:
- generated_from_trainer
base_model: bertin-project/bertin-roberta-base-spanish
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: my-model-Bertin-Sentimento
  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. -->

# my-model-Bertin-Sentimento

This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3572
- Accuracy: 0.9355
- F1: 0.9279
- Precision: 0.9268
- Recall: 0.9355

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.3998        | 1.0   | 91   | 0.3293          | 0.8774   | 0.8553 | 0.8570    | 0.8774 |
| 0.2686        | 2.0   | 182  | 0.2188          | 0.9290   | 0.9200 | 0.9199    | 0.9290 |
| 0.1113        | 3.0   | 273  | 0.2266          | 0.9290   | 0.9299 | 0.9360    | 0.9290 |
| 0.0265        | 4.0   | 364  | 0.4089          | 0.9355   | 0.9277 | 0.9293    | 0.9355 |
| 0.0065        | 5.0   | 455  | 0.3572          | 0.9355   | 0.9279 | 0.9268    | 0.9355 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1