distilbert-base-uncased-detect_ai_generated_text

Lau123/distilbert-base-uncased-detect_ai_generated_text

distilbert-base-uncased-detect_ai_generated_text is a text classification model from Lau123. 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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

1.2K

Public

Parameters

67M

268 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors268 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Dec 20, 2023
Updated: Dec 20, 2023
SHA: 25d9016c

Try a prompt

Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-detect_ai_generated_text

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: 0.0089
Accuracy: 1.0
F1: 1.0

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2078	1.0	47	0.0219	1.0	1.0
0.0153	2.0	94	0.0089	1.0	1.0

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Dec 20, 2023
Updated: Dec 20, 2023