---
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags:
- generated_from_trainer
model-index:
- name: Analisis-sentimientos-xml-roberta-2
  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-xml-roberta-2

This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4500
- Rmse: 0.2285

## 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: 16
- 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2294        | 1.0   | 642  | 0.2043          | 0.2574 |
| 0.1562        | 2.0   | 1284 | 0.1764          | 0.2466 |
| 0.1141        | 3.0   | 1926 | 0.2350          | 0.2418 |
| 0.0724        | 4.0   | 2568 | 0.3255          | 0.2442 |
| 0.0544        | 5.0   | 3210 | 0.4008          | 0.2377 |
| 0.0426        | 6.0   | 3852 | 0.4125          | 0.2352 |
| 0.0343        | 7.0   | 4494 | 0.3922          | 0.2259 |
| 0.0318        | 8.0   | 5136 | 0.4186          | 0.2336 |
| 0.0304        | 9.0   | 5778 | 0.4204          | 0.2277 |
| 0.0265        | 10.0  | 6420 | 0.4500          | 0.2285 |


### Framework versions

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