---
license: apache-2.0
base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my-model-SaBERT-Area
  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-Area

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: 1.5236
- Accuracy: 0.4173

## 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-05
- train_batch_size: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.8312        | 1.0   | 7    | 1.7417          | 0.3022   |
| 1.6365        | 2.0   | 14   | 1.6915          | 0.3165   |
| 1.5135        | 3.0   | 21   | 1.6488          | 0.3525   |
| 1.3915        | 4.0   | 28   | 1.6102          | 0.3525   |
| 1.2707        | 5.0   | 35   | 1.5685          | 0.4173   |
| 1.1772        | 6.0   | 42   | 1.5384          | 0.4388   |
| 1.0696        | 7.0   | 49   | 1.5229          | 0.4245   |
| 0.9962        | 8.0   | 56   | 1.5187          | 0.4173   |
| 0.9411        | 9.0   | 63   | 1.5232          | 0.4317   |
| 0.9334        | 10.0  | 70   | 1.5236          | 0.4173   |


### Framework versions

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