---
license: cc-by-4.0
base_model: bertin-project/bertin-roberta-base-spanish
tags:
- generated_from_trainer
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: 0.2655
- Accuracy: 0.9419
- F1: 0.7805
- Precision: 0.8889
- Recall: 0.6957

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.3854        | 1.0   | 91   | 0.2982          | 0.9097   | 0.6111 | 0.8462    | 0.4783 |
| 0.2292        | 2.0   | 182  | 0.5019          | 0.8968   | 0.5    | 0.8889    | 0.3478 |
| 0.113         | 3.0   | 273  | 0.3843          | 0.9290   | 0.7556 | 0.7727    | 0.7391 |
| 0.051         | 4.0   | 364  | 0.3038          | 0.9355   | 0.8077 | 0.7241    | 0.9130 |
| 0.0267        | 5.0   | 455  | 0.2655          | 0.9419   | 0.7805 | 0.8889    | 0.6957 |


### Framework versions

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