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--- |
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license: apache-2.0 |
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base_model: markussagen/xlm-roberta-longformer-base-4096 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: detectors_god2 |
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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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# detectors_god2 |
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This model is a fine-tuned version of [markussagen/xlm-roberta-longformer-base-4096](https://huggingface.co/markussagen/xlm-roberta-longformer-base-4096) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.7154 |
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- eval_accuracy: 0.9620 |
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- eval_precision_safe: 0.9748 |
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- eval_recall_safe: 0.9547 |
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- eval_precision_jailbroken: 0.9474 |
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- eval_recall_jailbroken: 0.9706 |
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- eval_confusion_matrix: [[232 11] |
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[ 6 198]] |
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- eval_runtime: 8.6182 |
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- eval_samples_per_second: 51.867 |
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- eval_steps_per_second: 3.249 |
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- epoch: 0.99 |
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- step: 63 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.1 |
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