---
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: 2.9503
- F1-score: 0.6139

## 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 | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9136        | 1.0   | 241  | 0.8427          | 0.6223   |
| 0.6957        | 2.0   | 482  | 0.9260          | 0.6046   |
| 0.4825        | 3.0   | 723  | 1.1533          | 0.6004   |
| 0.299         | 4.0   | 964  | 1.2836          | 0.5952   |
| 0.2142        | 5.0   | 1205 | 1.5988          | 0.6160   |
| 0.1312        | 6.0   | 1446 | 2.5332          | 0.5879   |
| 0.0899        | 7.0   | 1687 | 2.4297          | 0.6233   |
| 0.0414        | 8.0   | 1928 | 2.7368          | 0.6129   |
| 0.023         | 9.0   | 2169 | 2.9262          | 0.6160   |
| 0.0203        | 10.0  | 2410 | 2.9503          | 0.6139   |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1