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--- |
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license: mit |
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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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- precision |
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- recall |
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model-index: |
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- name: roberta-bne-clara |
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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-clara |
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This model is a fine-tuned version of [roberta-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the Diario de Madrid dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2078 |
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- F1: 0.5174 |
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- Precision: 0.4561 |
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- Recall: 0.5977 |
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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: 5e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:| |
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| 0.7026 | 1.0 | 103 | 0.2844 | 0.4720 | 0.5135 | 0.4368 | |
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| 0.325 | 2.0 | 206 | 0.1715 | 0.5665 | 0.5698 | 0.5632 | |
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| 0.2094 | 3.0 | 309 | 0.1452 | 0.6294 | 0.5636 | 0.7126 | |
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| 0.1416 | 4.0 | 412 | 0.1508 | 0.5178 | 0.4636 | 0.5862 | |
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| 0.1058 | 5.0 | 515 | 0.1794 | 0.5700 | 0.4917 | 0.6782 | |
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| 0.0711 | 6.0 | 618 | 0.1743 | 0.5510 | 0.4954 | 0.6207 | |
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| 0.0489 | 7.0 | 721 | 0.1900 | 0.5895 | 0.5437 | 0.6437 | |
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| 0.0373 | 8.0 | 824 | 0.1841 | 0.6131 | 0.5446 | 0.7011 | |
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| 0.0277 | 9.0 | 927 | 0.1954 | 0.5445 | 0.5 | 0.5977 | |
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| 0.0215 | 10.0 | 1030 | 0.2078 | 0.5174 | 0.4561 | 0.5977 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 1.16.1 |
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- Tokenizers 0.13.2 |
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