---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: robertuito-sentiment-analysis-hate-finetuned-sentiments_reviews_politicos
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# robertuito-sentiment-analysis-hate-finetuned-sentiments_reviews_politicos

This model is a fine-tuned version of [Hate-speech-CNERG/dehatebert-mono-spanish](https://huggingface.co/Hate-speech-CNERG/dehatebert-mono-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2559
- Accuracy: 0.9368

## 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: 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.29          | 1.0   | 3595 | 0.2559          | 0.9368   |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6