---
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-ss3
  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-ss3

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: 1.0250
- F1: 0.7788
- Recall: 0.7819
- Accuracy: 0.7819
- Precision: 0.7902

## 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  | 1.4320          | 0.6547 | 0.6927 | 0.6927   | 0.6529    |
| 2.1286        | 2.0   | 884  | 1.1279          | 0.7089 | 0.7386 | 0.7386   | 0.7006    |
| 1.0149        | 3.0   | 1326 | 1.0204          | 0.7350 | 0.7513 | 0.7513   | 0.7355    |
| 0.6117        | 4.0   | 1768 | 0.9823          | 0.7552 | 0.7698 | 0.7698   | 0.7724    |
| 0.3659        | 5.0   | 2210 | 1.0250          | 0.7788 | 0.7819 | 0.7819   | 0.7902    |


### Framework versions

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