---
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-large-bne-te
tags:
- generated_from_trainer
model-index:
- name: Roberta-large-AS-HU
  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-AS-HU

This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne-te](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne-te) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6781
- F1-score: 0.5866

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6972        | 1.0   | 127  | 0.6782          | 0.5866   |
| 0.6816        | 2.0   | 254  | 0.6786          | 0.5866   |
| 0.682         | 3.0   | 381  | 0.6784          | 0.5866   |
| 0.6799        | 4.0   | 508  | 0.6782          | 0.5866   |
| 0.6789        | 5.0   | 635  | 0.6781          | 0.5866   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1