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

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: 2.9837
- Rmse: 0.7071

## 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.0334        | 1.0   | 156  | 0.9397          | 0.9439 |
| 0.7612        | 2.0   | 312  | 1.1421          | 0.7250 |
| 0.5843        | 3.0   | 468  | 1.5608          | 0.7026 |
| 0.2322        | 4.0   | 624  | 2.1870          | 0.6554 |
| 0.143         | 5.0   | 780  | 2.3847          | 0.7553 |
| 0.0953        | 6.0   | 936  | 2.3580          | 0.6841 |
| 0.027         | 7.0   | 1092 | 2.7096          | 0.6980 |
| 0.0103        | 8.0   | 1248 | 3.0068          | 0.7161 |
| 0.007         | 9.0   | 1404 | 2.9551          | 0.7026 |
| 0.0045        | 10.0  | 1560 | 2.9837          | 0.7071 |


### Framework versions

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