README.md

---
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-base-bne
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
- precision
model-index:
- name: roberta-base-fine-tuned-text-classificarion-ds-ss2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-base-fine-tuned-text-classificarion-ds-ss2

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1475
- F1: 0.7875
- Recall: 0.7818
- Accuracy: 0.7818
- Precision: 0.8021

## 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   | 442  | 0.9007          | 0.7765 | 0.7793 | 0.7793   | 0.7882    |
| 0.8538        | 2.0   | 884  | 0.9423          | 0.7772 | 0.7751 | 0.7751   | 0.7954    |
| 0.352         | 3.0   | 1326 | 0.9751          | 0.7842 | 0.7846 | 0.7846   | 0.7899    |
| 0.1244        | 4.0   | 1768 | 1.0226          | 0.7972 | 0.7970 | 0.7970   | 0.8019    |
| 0.046         | 5.0   | 2210 | 1.1475          | 0.7875 | 0.7818 | 0.7818   | 0.8021    |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3