distilbert-small-offensive-classification-test2025

ningrumdaud/distilbert-small-offensive-classification-test2025

distilbert-small-offensive-classification-test2025 is a text classification model from ningrumdaud. 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: Jun 5, 2025
Updated: Jun 5, 2025
SHA: 4a8c5c48

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Base models

distilbert/distilbert-base-multilingual-cased

Model card

From the Hugging Face model README

distilbert-small-offensive-classification-test2025

This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset.

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	80	0.6683	0.6125

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 5, 2025
Updated: Jun 5, 2025