bert-tiny-finetuned-enron-spam-detection

mrm8488/bert-tiny-finetuned-enron-spam-detection

bert-tiny-finetuned-enron-spam-detection is a text classification model from mrm8488. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Datasets

SetFit/enron_spam

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Model card

From the Hugging Face model README

BERT-Tiny fine-tuned on Enron Spam Detection

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 (aka BERT-Tiny) on an SetFit/enron_spam for Spam Dectection downstream task.

It achieves the following results on the evaluation set:

Loss: 0.0593
Precision: 0.9851
Recall: 0.9871
Accuracy: 0.986
F1: 0.9861

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: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	Accuracy	F1
0.1125	1.0	1983	0.0797	0.9839	0.9692	0.9765	0.9765
0.061	2.0	3966	0.0618	0.9822	0.9861	0.984	0.9842
0.0486	3.0	5949	0.0593	0.9851	0.9871	0.986	0.9861
0.048	4.0	7932	0.0588	0.9870	0.9821	0.9845	0.9846

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Hf Inference: live
Created: Oct 21, 2022
Updated: Mar 17, 2023