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---
tags:
- generated_from_trainer
base_model: pysentimiento/robertuito-sentiment-analysis
metrics:
- accuracy
- f1
model-index:
- name: Sentimiento-appmovilesPG
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. -->
# Sentimiento-appmovilesPG
This model is a fine-tuned version of [pysentimiento/robertuito-sentiment-analysis](https://huggingface.co/pysentimiento/robertuito-sentiment-analysis) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3058
- Accuracy: 0.9367
- F1: 0.8364
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log | 1.0 | 332 | 0.3105 | 0.9217 | 0.8297 |
| 0.3353 | 2.0 | 664 | 0.3109 | 0.9367 | 0.8362 |
| 0.3353 | 3.0 | 996 | 0.3058 | 0.9367 | 0.8364 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|