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---
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-base-bne
tags:
- generated_from_trainer
metrics:
- f1
- recall
- accuracy
- precision
model-index:
- name: roberta-base-fine-tuned-text-classificarion-ds-ss2
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-base-fine-tuned-text-classificarion-ds-ss2
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: 1.1475
- F1: 0.7875
- Recall: 0.7818
- Accuracy: 0.7818
- Precision: 0.8021
## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
| No log | 1.0 | 442 | 0.9007 | 0.7765 | 0.7793 | 0.7793 | 0.7882 |
| 0.8538 | 2.0 | 884 | 0.9423 | 0.7772 | 0.7751 | 0.7751 | 0.7954 |
| 0.352 | 3.0 | 1326 | 0.9751 | 0.7842 | 0.7846 | 0.7846 | 0.7899 |
| 0.1244 | 4.0 | 1768 | 1.0226 | 0.7972 | 0.7970 | 0.7970 | 0.8019 |
| 0.046 | 5.0 | 2210 | 1.1475 | 0.7875 | 0.7818 | 0.7818 | 0.8021 |
### Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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