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profoz/parent_malicious_model
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metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: results
    results: []

results

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1696
  • Accuracy: 0.9308
  • Class 0 Precision: 0.9947
  • Class 0 Recall: 0.9319
  • Class 0 F1: 0.9623
  • Class 0 Support: 132570
  • Class 1 Precision: 0.4316
  • Class 1 Recall: 0.9118
  • Class 1 F1: 0.5859
  • Class 1 Support: 7517

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy Class 0 Precision Class 0 Recall Class 0 F1 Class 0 Support Class 1 Precision Class 1 Recall Class 1 F1 Class 1 Support
0.2116 0.9998 2830 0.1709 0.9437 0.9334 0.9671 0.9500 6265 0.9574 0.9146 0.9355 5058

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1