distilbert-small-offensive-classification-test

Af2024ma/distilbert-small-offensive-classification-test

distilbert-small-offensive-classification-test is a text classification model from Af2024ma. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Jun 4, 2024
Updated: Jun 4, 2024
SHA: ce9af54b

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Base models

MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7

Model card

From the Hugging Face model README

distilbert-small-offensive-classification-test

This model is a fine-tuned version of MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	120	1.0678	0.475

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Jun 4, 2024
Updated: Jun 4, 2024