distilbert-base-uncased-spam-test

sidkk86/distilbert-base-uncased-spam-test

distilbert-base-uncased-spam-test is a text classification model from sidkk86. 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 16, 2022
Updated: Dec 16, 2022
SHA: e1d2f9d7

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Model card

From the Hugging Face model README

distilbert-base-uncased-spam-test

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

Loss: 0.0238
Accuracy: 0.9933
F1: 0.9933

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1739	1.0	260	0.0391	0.9894	0.9894
0.0181	2.0	520	0.0238	0.9933	0.9933

Framework versions

Transformers 4.18.0
Pytorch 1.10.1+cu102
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Dec 16, 2022
Updated: Dec 16, 2022