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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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language: |
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- es |
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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 |
