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---
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
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