ai-detect-3 – AI Model by mekjr1 | AlphaNeural AI

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mekjr1/
ai-detect-3

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text-classification

generated_from_trainer

akshayvkt/detect-ai-text-1

autotrain_compatible

endpoints_compatible

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ai-detect-3

This model is a fine-tuned version of akshayvkt/detect-ai-text-1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3991
Accuracy: 0.9297
Precision: 0.9232
Recall: 0.9682
F1: 0.9452

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
0.1662	1.0	6250	0.1980	0.9205	0.9117	0.9666	0.9383
0.1581	2.0	12500	0.4775	0.8741	0.8439	0.9802	0.9069
0.0662	3.0	18750	0.4612	0.9031	0.8739	0.9877	0.9273
0.0112	4.0	25000	0.3991	0.9297	0.9232	0.9682	0.9452

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1