---
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: 0.4452
- Rmse: 0.4436

## 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2242        | 1.0   | 642  | 0.1785          | 0.4892 |
| 0.1607        | 2.0   | 1284 | 0.1834          | 0.4844 |
| 0.1161        | 3.0   | 1926 | 0.2248          | 0.4630 |
| 0.0716        | 4.0   | 2568 | 0.2882          | 0.4316 |
| 0.0582        | 5.0   | 3210 | 0.3435          | 0.4441 |
| 0.0487        | 6.0   | 3852 | 0.3672          | 0.4562 |
| 0.0397        | 7.0   | 4494 | 0.3785          | 0.4528 |
| 0.0326        | 8.0   | 5136 | 0.4055          | 0.4493 |
| 0.0276        | 9.0   | 5778 | 0.4224          | 0.4410 |
| 0.0243        | 10.0  | 6420 | 0.4452          | 0.4436 |


### Framework versions

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