MixGPT2_Domain_100KP_BFall_fromP_90K_topP_0.75_ratio2.63

• Loss: 0.0244
• Accuracy: 0.9979
• F1: 0.9770
• Precision: 0.9981
• Recall: 0.9568
• Roc Auc Score: 0.9784
• Tpr At Fpr 0.01: 0.9584

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
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.29.1
• Pytorch 1.9.0+cu111
• Datasets 2.10.1
• Tokenizers 0.13.2