changge29/distilbert_enron_emails

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

distilbertenronemails

This model is a fine-tuned version of distilbert-base-uncased on an SetFit/enron_spam for Spam Dectection task. It achieves the following results on the evaluation set:

• —Loss: 0.0522
• —Accuracy: 0.9935
• —F1: 0.9936
• —Precision: 0.9921
• —Recall: 0.9950

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
• —trainbatchsize: 16
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2