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---
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
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