distilbert-base-uncased-SpamFilter-DunnBC22

SteelShadow/distilbert-base-uncased-SpamFilter-DunnBC22

distilbert-base-uncased-SpamFilter-DunnBC22 is a text classification model from SteelShadow. 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: distilbert
Access: Public
Created: Dec 10, 2023
Updated: Dec 14, 2023
SHA: 1f6bc450

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Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-SpamFilter-DunnBC22

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0237
Accuracy: 0.9887

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: 2.7046071743552093e-05
train_batch_size: 128
eval_batch_size: 128
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
No log	1.0	27	0.0452	0.9944
No log	2.0	54	0.0286	0.9887
No log	3.0	81	0.0257	0.9944
No log	4.0	108	0.0237	0.9887

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Dec 10, 2023
Updated: Dec 14, 2023