---
base_model: finiteautomata/beto-sentiment-analysis
tags:
- generated_from_trainer
model-index:
- name: Analisis-sentimientos-BETO-TASS-C
  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. -->

# Analisis-sentimientos-BETO-TASS-C

This model is a fine-tuned version of [finiteautomata/beto-sentiment-analysis](https://huggingface.co/finiteautomata/beto-sentiment-analysis) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2393
- Rmse: 0.7242

## 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: 4
- eval_batch_size: 8
- 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 | Rmse   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8967        | 1.0   | 961  | 0.9813          | 0.6986 |
| 0.7239        | 2.0   | 1922 | 1.0296          | 0.7517 |
| 0.5218        | 3.0   | 2883 | 1.7505          | 0.7668 |
| 0.3103        | 4.0   | 3844 | 2.0306          | 0.7242 |
| 0.1974        | 5.0   | 4805 | 2.5881          | 0.7475 |
| 0.0896        | 6.0   | 5766 | 2.7333          | 0.7551 |
| 0.0444        | 7.0   | 6727 | 3.0139          | 0.7531 |
| 0.0255        | 8.0   | 7688 | 3.1289          | 0.7177 |
| 0.0137        | 9.0   | 8649 | 3.2251          | 0.7242 |
| 0.0069        | 10.0  | 9610 | 3.2393          | 0.7242 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3