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--- |
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library_name: transformers |
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base_model: cardiffnlp/twitter-xlm-roberta-base-hate-spanish |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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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: MultiPRIDE-baseline-es |
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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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# MultiPRIDE-baseline-es |
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This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-hate-spanish](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-hate-spanish) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2295 |
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- Accuracy: 0.8864 |
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- F1: 0.5455 |
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- Precision: 0.6923 |
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- Recall: 0.45 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 150 |
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- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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 | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.8186 | 1.0 | 77 | 0.6756 | 0.8485 | 0.0 | 0.0 | 0.0 | |
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| 0.6938 | 2.0 | 154 | 0.6323 | 0.8636 | 0.1818 | 1.0 | 0.1 | |
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| 0.6306 | 3.0 | 231 | 0.5534 | 0.8939 | 0.5625 | 0.75 | 0.45 | |
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| 0.5361 | 4.0 | 308 | 0.5799 | 0.7045 | 0.4658 | 0.3208 | 0.85 | |
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| 0.3683 | 5.0 | 385 | 0.9161 | 0.8712 | 0.5405 | 0.5882 | 0.5 | |
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| 0.3116 | 6.0 | 462 | 1.2295 | 0.8864 | 0.5455 | 0.6923 | 0.45 | |
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### Framework versions |
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- Transformers 4.57.3 |
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- Pytorch 2.9.1+cu128 |
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- Datasets 4.4.1 |
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- Tokenizers 0.22.1 |
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