Truviz-ai-detect-2 – AI Model by Ajayk | AlphaNeural AI

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Ajayk/
Truviz-ai-detect-2

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text-classification

generated_from_trainer

Ajayk/Truviz-ai-detect

autotrain_compatible

endpoints_compatible

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Truviz-ai-detect-2

This model is a fine-tuned version of Ajayk/Truviz-ai-detect on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2677
Accuracy: 0.9423

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3847	0.1	500	0.2306	0.9071
0.2661	0.2	1000	0.4132	0.8855
0.2539	0.3	1500	0.2856	0.9146
0.2548	0.4	2000	0.2069	0.9295
0.1454	0.5	2500	0.3659	0.9212
0.2236	0.6	3000	0.2453	0.9344
0.2285	0.7	3500	0.1480	0.9497
0.2007	0.8	4000	0.2612	0.9229
0.2503	0.9	4500	0.2008	0.9384
0.2128	1.0	5000	0.1633	0.953
0.0849	1.1	5500	0.2167	0.9538
0.0706	1.2	6000	0.3862	0.9347
0.0915	1.3	6500	0.2781	0.9487
0.1187	1.4	7000	0.2677	0.9423

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0