BBI-ai-text-detecto-v4

This model is a fine-tuned version of desklib/ai-text-detector-v1.01 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.0276
• eval_model_preparation_time: 0.0058
• eval_accuracy: 0.5686
• eval_f1: 0.6963
• eval_runtime: 213.2311
• eval_samples_per_second: 49.242
• eval_steps_per_second: 6.158
• step: 0

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0