Spam-Detection

vishnun0027/Spam-Detection

Spam-Detection is a text classification model from vishnun0027. 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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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Oct 21, 2024
Updated: Oct 23, 2024
SHA: 3355d7b8

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Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

spam-detection_m1

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

Loss: 0.0202
Accuracy: 0.9967

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: 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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	256	0.1144	0.9919
0.22	2.0	512	0.0483	0.9923
0.22	3.0	768	0.0321	0.9949
0.0361	4.0	1024	0.0275	0.9949
0.0361	5.0	1280	0.0245	0.9952
0.0233	6.0	1536	0.0232	0.9960
0.0233	7.0	1792	0.0220	0.9967
0.0171	8.0	2048	0.0209	0.9967
0.0171	9.0	2304	0.0211	0.9967
0.0148	10.0	2560	0.0202	0.9967

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 21, 2024
Updated: Oct 23, 2024