---
license: apache-2.0
base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: my-model-Sabert-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-Sabert-Sentimento

This model is a fine-tuned version of [VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis](https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2475
- Accuracy: 0.9355
- F1: 0.9244
- Precision: 0.9204
- 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: 2e-06
- train_batch_size: 20
- eval_batch_size: 20
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.8062        | 1.0   | 37   | 0.5185          | 0.9419   | 0.9248 | 0.9389    | 0.9419 |
| 0.4799        | 2.0   | 74   | 0.3278          | 0.9419   | 0.9248 | 0.9389    | 0.9419 |
| 0.3556        | 3.0   | 111  | 0.2730          | 0.9355   | 0.9244 | 0.9204    | 0.9355 |
| 0.3058        | 4.0   | 148  | 0.2532          | 0.9355   | 0.9244 | 0.9204    | 0.9355 |
| 0.2785        | 5.0   | 185  | 0.2475          | 0.9355   | 0.9244 | 0.9204    | 0.9355 |


### Framework versions

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