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ImageNet_general – AI Model by BeyondDeepFakeDetection | AlphaNeural AI
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BeyondDeepFakeDetection
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ImageNet_general
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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ImageNet_general_model_v2
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8684
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2101
1.0
2776
1.0689
1.0298
2.0
5552
0.9504
0.9494
3.0
8328
0.9029
0.9136
4.0
11104
0.8766
0.8836
5.0
13880
0.8684
Framework versions
Transformers 4.46.3
Pytorch 2.1.2+cu121
Datasets 2.19.1
Tokenizers 0.20.3
