Benign10MGPT2_suffix_100KP_BFall_fromB_90K_topP_0.75_ratio2.63

• Loss: 0.1028
• Accuracy: 0.9801
• F1: 0.8205
• Precision: 0.7196
• Recall: 0.9542
• Roc Auc Score: 0.9678
• Tpr At Fpr 0.01: 0.787

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.0+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3