---
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
- precision
model-index:
- name: bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-dss
  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. -->

# bertin-roberta-fine-tuned-text-classification-SL-data-augmentation-dss

This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3050
- F1: 0.4713
- Recall: 0.4797
- Accuracy: 0.4797
- Precision: 0.4820

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Recall | Accuracy | Precision |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
| No log        | 1.0   | 359  | 3.4261          | 0.2636 | 0.3268 | 0.3268   | 0.2780    |
| 3.7358        | 2.0   | 718  | 2.7048          | 0.3631 | 0.4179 | 0.4179   | 0.3773    |
| 2.4772        | 3.0   | 1077 | 2.4578          | 0.4072 | 0.4407 | 0.4407   | 0.4095    |
| 2.4772        | 4.0   | 1436 | 2.3357          | 0.4403 | 0.4545 | 0.4545   | 0.4815    |
| 1.6075        | 5.0   | 1795 | 2.3050          | 0.4713 | 0.4797 | 0.4797   | 0.4820    |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3