---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
- precision
model-index:
- name: roberta-bne-fine-tuned-text-classification-SL-1200samples
  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-bne-fine-tuned-text-classification-SL-1200samples

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: 2.5536
- F1: 0.4587
- Recall: 0.4697
- Accuracy: 0.4697
- Precision: 0.4773

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
| 2.3608        | 1.0   | 1503 | 2.2771          | 0.3955 | 0.4385 | 0.4385   | 0.4415    |
| 1.9673        | 2.0   | 3006 | 2.0774          | 0.4439 | 0.4769 | 0.4769   | 0.4716    |
| 1.5479        | 3.0   | 4509 | 2.1167          | 0.4567 | 0.4767 | 0.4767   | 0.4719    |
| 1.0917        | 4.0   | 6012 | 2.4366          | 0.4512 | 0.4451 | 0.4451   | 0.4902    |
| 0.8063        | 5.0   | 7515 | 2.5536          | 0.4587 | 0.4697 | 0.4697   | 0.4773    |


### Framework versions

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