ai-detect-6

mekjr1/ai-detect-6

ai-detect-6 is a machine learning model from mekjr1. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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Hugging Face

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At a glance

Model type: roberta
Access: Public
Created: Oct 19, 2024
Updated: Oct 19, 2024
SHA: 990ba033

Base models

Hello-SimpleAI/chatgpt-detector-roberta

Model card

From the Hugging Face model README

ai-detect-6

This model is a fine-tuned version of Hello-SimpleAI/chatgpt-detector-roberta on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4830
Accuracy: 0.9396
Precision: 0.9223
Recall: 0.9866
F1: 0.9534

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.216	1.0	6250	0.4401	0.8916	0.8572	0.9920	0.9197
0.1277	2.0	12500	0.2963	0.928	0.9093	0.9831	0.9447
0.0858	3.0	18750	0.3475	0.9236	0.8993	0.9887	0.9418
0.0647	4.0	25000	0.2927	0.9404	0.9252	0.9843	0.9539
0.0798	5.0	31250	0.3095	0.9424	0.9282	0.9840	0.9553
0.0392	6.0	37500	0.4386	0.9401	0.9214	0.9887	0.9538
0.0433	7.0	43750	0.4830	0.9396	0.9223	0.9866	0.9534

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 3.0.1
Tokenizers 0.15.2

Type: roberta
Created: Oct 19, 2024
Updated: Oct 19, 2024