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--- |
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language: |
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- es |
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tags: |
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- generated_from_trainer |
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datasets: |
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- jorgeortizfuentes/spanish-offensive-language |
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metrics: |
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- f1 |
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model-index: |
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- name: spanish-offensive-language-bert-base-spanish-wwm-cased |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: jorgeortizfuentes/spanish-offensive-language |
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type: jorgeortizfuentes/spanish-offensive-language |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.5861096817040292 |
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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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# spanish-offensive-language-bert-base-spanish-wwm-cased |
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the jorgeortizfuentes/spanish-offensive-language dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7753 |
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- F1: 0.5861 |
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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: 2e-05 |
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- train_batch_size: 48 |
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- eval_batch_size: 48 |
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- seed: 13 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.6383 | 1.0 | 166 | 0.6105 | 0.4916 | |
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| 0.5779 | 2.0 | 332 | 0.6027 | 0.5531 | |
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| 0.4791 | 3.0 | 498 | 0.6503 | 0.5852 | |
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| 0.3626 | 4.0 | 664 | 0.7753 | 0.5861 | |
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| 0.2758 | 5.0 | 830 | 0.8416 | 0.5856 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.13.3 |
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