distilbert-base-uncased-finetuned-toxic-classification

shubhamitra/distilbert-base-uncased-finetuned-toxic-classification

distilbert-base-uncased-finetuned-toxic-classification is a text classification model from shubhamitra. 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 5, 2022
Updated: Jul 5, 2022
SHA: 16d08958

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Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-toxic-classification

This model is a fine-tuned version of distilbert-base-uncased on an unknown 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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 123
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
No log	1.0	498	0.0419	0.7754	0.8736	0.9235

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 5, 2022
Updated: Jul 5, 2022