This model is a fine-tuned version of gyr66/RoBERTa-finetuned-privacy-detection on the gyr66/privacy_detection dataset.
It achieves the following results on the evaluation set:
Loss: 0.3534
Precision: 0.6169
Recall: 0.7248
F1: 0.6665
Accuracy: 0.9061
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: 2e-05
train_batch_size: 56
eval_batch_size: 56
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
