---
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](https://huggingface.co/roberta-base) on an [ad_detector](https://huggingface.co/0x7194633/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