---
base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
tags:
- generated_from_trainer
model-index:
- name: Analisis-sentimientos-XLM-Roberta-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-XLM-Roberta-TASS-C

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: 1.0906
- Rmse: 1.2160

## 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.0289        | 1.0   | 961  | 0.9978          | 0.8375 |
| 1.0696        | 2.0   | 1922 | 1.0969          | 0.8262 |
| 1.1009        | 3.0   | 2883 | 1.0907          | 1.2160 |
| 1.101         | 4.0   | 3844 | 1.0909          | 1.2160 |
| 1.1021        | 5.0   | 4805 | 1.0911          | 1.2160 |
| 1.096         | 6.0   | 5766 | 1.0933          | 1.2160 |
| 1.0964        | 7.0   | 6727 | 1.0909          | 1.2160 |
| 1.0953        | 8.0   | 7688 | 1.0912          | 1.2160 |
| 1.0929        | 9.0   | 8649 | 1.0907          | 1.2160 |
| 1.0921        | 10.0  | 9610 | 1.0906          | 1.2160 |


### Framework versions

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