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metadata
license: apache-2.0
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: roberta-base-ad-detector
    results: []
datasets:
  - 0x7194633/ad_detector
language:
  - en
pipeline_tag: text-classification

roberta-base-ad-detector

This model is a fine-tuned version of roberta-base on an ad_detector dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0010
  • Accuracy: 1.0
  • F1: 1.0
  • Precision: 1.0
  • Recall: 1.0

Model description

More information needed

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1