BeyondDeepFakeDetection/CIFAR-100_real_severe

real_model_CI100_correct_v3

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4381

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: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.705	1.0	1902	0.5518
0.5445	2.0	3804	0.4815
0.4934	3.0	5706	0.4563
0.4702	4.0	7608	0.4435
0.4569	5.0	9510	0.4381

Framework versions

• Transformers 4.46.3
• Pytorch 2.4.1+cu121
• Datasets 2.19.1
• Tokenizers 0.20.3