email_spam_classification_eng – AI Model by jalaluddin94 | AlphaNeural AI

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jalaluddin94/
email_spam_classification_eng

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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email_spam_classification_eng

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0483
Accuracy: 0.9928
Precision: 0.9928
Recall: 0.9928
F1 Score: 0.9928

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: 3e-06
train_batch_size: 8
eval_batch_size: 8
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	Accuracy	Precision	Recall	F1 Score
0.0073	1.0	592	0.0707	0.9916	0.9916	0.9916	0.9915
0.0043	2.0	1184	0.0679	0.9904	0.9904	0.9904	0.9904
0.0022	3.0	1776	0.0564	0.9916	0.9916	0.9916	0.9916
0.0015	4.0	2368	0.0483	0.9928	0.9928	0.9928	0.9928

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1