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