pretrained-ai-or-not

This model is a fine-tuned version of gusevvan/pretrained-ai-or-not on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1472
• Accuracy: 0.9804

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: 0.0002
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4795	0.66	40	0.1460	0.9804
0.062	1.31	80	0.2416	0.9020
0.0302	1.97	120	0.1472	0.9804

Framework versions

• Transformers 4.39.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2