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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- f1
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- recall
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- accuracy
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- precision
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model-index:
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- name: roberta-bne-fine-tuned-text-classification-SL-dss
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# roberta-bne-fine-tuned-text-classification-SL-dss
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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.
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It achieves the following results on the evaluation set:
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- Loss: 2.5089
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- F1: 0.4781
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- Recall: 0.4750
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- Accuracy: 0.4750
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- Precision: 0.5009
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy | Precision |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
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| 3.235 | 1.0 | 836 | 2.4142 | 0.3995 | 0.4471 | 0.4471 | 0.4786 |
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| 2.0006 | 2.0 | 1672 | 2.1013 | 0.4672 | 0.4942 | 0.4942 | 0.4867 |
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| 1.2424 | 3.0 | 2508 | 2.1138 | 0.4861 | 0.4852 | 0.4852 | 0.5132 |
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| 0.7242 | 4.0 | 3344 | 2.2694 | 0.4828 | 0.4747 | 0.4747 | 0.5126 |
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| 0.3403 | 5.0 | 4180 | 2.5089 | 0.4781 | 0.4750 | 0.4750 | 0.5009 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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