sandeshrajx/bert-fraud-classification-test-mass-4

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bert-fraud-classification-test-mass-4

This model is a fine-tuned version of sandeshrajx/bert-fraud-classification-test-mass on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3408
• —F1: 0.8508
• —Precision: 0.8627
• —Val Accuracy: 0.8663

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: 5e-05
• —trainbatchsize: 44
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 88
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.46.0.dev0
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.1
• —Tokenizers 0.20.1