distilbert-base-uncased-finetuned-toxicity

agi-css/distilbert-base-uncased-finetuned-toxicity

distilbert-base-uncased-finetuned-toxicity is a text classification model from agi-css. 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: Apr 5, 2022
Updated: Apr 5, 2022
SHA: ab381c64

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Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-toxicity

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: 0.0086
Accuracy: 0.999
F1: 0.9990

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: 8.589778712669143e-05
train_batch_size: 400
eval_batch_size: 400
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	20	0.0142	0.998	0.998
No log	2.0	40	0.0112	0.997	0.9970
No log	3.0	60	0.0088	0.999	0.9990
No log	4.0	80	0.0091	0.998	0.998
No log	5.0	100	0.0086	0.999	0.9990

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.1
Datasets 2.0.0
Tokenizers 0.11.0

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