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--- |
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license: mit |
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base_model: FacebookAI/xlm-roberta-base |
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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: cyber_xlm_roberta |
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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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# cyber_xlm_roberta |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4037 |
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- Accuracy: 0.8200 |
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- F1: 0.8080 |
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- Precision: 0.8010 |
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- Recall: 0.8236 |
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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: 1e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 5 |
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- mixed_precision_training: Native AMP |
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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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| 0.5504 | 1.0 | 144 | 0.4762 | 0.7637 | 0.7467 | 0.7416 | 0.7580 | |
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| 0.4198 | 2.0 | 288 | 0.4175 | 0.7945 | 0.7819 | 0.7759 | 0.7987 | |
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| 0.4121 | 3.0 | 432 | 0.4079 | 0.8148 | 0.8035 | 0.7969 | 0.8215 | |
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| 0.3715 | 4.0 | 576 | 0.3859 | 0.8221 | 0.8064 | 0.8012 | 0.8138 | |
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| 0.3464 | 5.0 | 720 | 0.4037 | 0.8200 | 0.8080 | 0.8010 | 0.8236 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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