---
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-base-bne
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: roberta-model-mesa-ayuda
  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. -->

# roberta-model-mesa-ayuda

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2925
- Accuracy: 0.9356
- F1: 0.9346
- Precision: 0.9356
- Recall: 0.9356

## 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: 26
- eval_batch_size: 26
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.5506        | 1.0   | 3681  | 0.5001          | 0.8574   | 0.8523 | 0.8607    | 0.8574 |
| 0.295         | 2.0   | 7362  | 0.3620          | 0.8970   | 0.8937 | 0.8965    | 0.8970 |
| 0.1553        | 3.0   | 11043 | 0.3022          | 0.9192   | 0.9184 | 0.9195    | 0.9192 |
| 0.0919        | 4.0   | 14724 | 0.2932          | 0.9311   | 0.9296 | 0.9300    | 0.9311 |
| 0.042         | 5.0   | 18405 | 0.2925          | 0.9356   | 0.9346 | 0.9356    | 0.9356 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2