BBI-ai-text-detecto-v5
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: 0.0327
- eval_accuracy: 0.5686
- eval_f1: 0.6963
- eval_runtime: 226.9765
- eval_samples_per_second: 46.26
- eval_steps_per_second: 5.785
- 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
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Base model
microsoft/deberta-v3-large Finetuned
desklib/ai-text-detector-v1.01