---
base_model: pysentimiento/robertuito-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
model-index:
- name: robertuito-allData-finetuned-class
  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. -->

# robertuito-allData-finetuned-class

This model is a fine-tuned version of [pysentimiento/robertuito-base-uncased](https://huggingface.co/pysentimiento/robertuito-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6512
- F1: 0.7470
- Recall: 0.7524
- Accuracy: 0.7677

## 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: 2.989919952299843e-05
- train_batch_size: 64
- eval_batch_size: 32
- seed: 15
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Recall | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|
| No log        | 1.0   | 103  | 0.6829          | 0.7074 | 0.7162 | 0.7399   |
| No log        | 2.0   | 206  | 0.6096          | 0.7326 | 0.7250 | 0.7632   |
| No log        | 3.0   | 309  | 0.6512          | 0.7470 | 0.7524 | 0.7677   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0