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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
- precision
model-index:
- name: roberta-bne-fine-tuned-text-classification-SL-dss
results: []
language:
- es
---
<!-- 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-dss
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: 2.5089
- F1: 0.4781
- Recall: 0.4750
- Accuracy: 0.4750
- Precision: 0.5009
## 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: 3e-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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
| 3.235 | 1.0 | 836 | 2.4142 | 0.3995 | 0.4471 | 0.4471 | 0.4786 |
| 2.0006 | 2.0 | 1672 | 2.1013 | 0.4672 | 0.4942 | 0.4942 | 0.4867 |
| 1.2424 | 3.0 | 2508 | 2.1138 | 0.4861 | 0.4852 | 0.4852 | 0.5132 |
| 0.7242 | 4.0 | 3344 | 2.2694 | 0.4828 | 0.4747 | 0.4747 | 0.5126 |
| 0.3403 | 5.0 | 4180 | 2.5089 | 0.4781 | 0.4750 | 0.4750 | 0.5009 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3 |