censorship_classifier_transformer

Tensorride/censorship_classifier_transformer

censorship_classifier_transformer is a text classification model from Tensorride. 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: Jul 10, 2023
Updated: Feb 5, 2024
SHA: b9a93ba4

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Model card

From the Hugging Face model README

censorship_classifier_transformer

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: 0.6150
Accuracy: 0.7727

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: 16
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	2	0.6542	0.5909
No log	2.0	4	0.6344	0.5909
No log	3.0	6	0.6212	0.6364
No log	4.0	8	0.6150	0.7727

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cpu
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 10, 2023
Updated: Feb 5, 2024