---
library_name: transformers
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-large-bne
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-large-pos
  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-large-pos

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0769
- Precision: 0.9838
- Recall: 0.9865
- F1: 0.9852
- Accuracy: 0.9845

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.2146        | 1.0   | 603  | 0.0843          | 0.9781    | 0.9805 | 0.9793 | 0.9786   |
| 0.0322        | 2.0   | 1206 | 0.0714          | 0.9837    | 0.9849 | 0.9843 | 0.9837   |
| 0.0147        | 3.0   | 1809 | 0.0769          | 0.9838    | 0.9865 | 0.9852 | 0.9845   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1