openai-roberta-large-AI-detection – AI Model by Varun53 | AlphaNeural AI

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Varun53/
openai-roberta-large-AI-detection

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text-classification

generated_from_trainer

openai-community/roberta-large-openai-detector

autotrain_compatible

endpoints_compatible

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openai-roberta-large-AI-detection

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

Loss: 0.5761
Accuracy: 0.7308
Recall: 0.7513
Precision: 0.7595
F1: 0.7554

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	Precision	F1
0.6973	1.0	197	0.5936	0.7071	0.9652	0.6612	0.7848
0.658	2.0	394	0.5761	0.7308	0.7513	0.7595	0.7554
0.4746	3.0	591	0.6044	0.7071	0.8690	0.6857	0.7665
0.3514	4.0	788	0.7278	0.7293	0.8636	0.7099	0.7793
0.2263	5.0	985	1.2186	0.7071	0.8636	0.6872	0.7654

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2