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GPT2_Turing_Detector – AI Model by vohai2003 | AlphaNeural AI
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GPT2_Turing_Detector
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transformers
safetensors
gpt2
text-classification
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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GPT2_Turing_Detector
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2083
eval_accuracy: 0.9863
eval_runtime: 1341.138
eval_samples_per_second: 23.711
eval_steps_per_second: 1.482
epoch: 1.8875
step: 30000
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-07
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 40
mixed_precision_training: Native AMP
Framework versions
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
