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DeepFake-EN-B6 – AI Model by Skullly | AlphaNeural AI
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Skullly
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DeepFake-EN-B6
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transformers
safetensors
efficientnet
image-classification
generated_from_trainer
google/efficientnet-b6
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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DeepFake-EN-B6
This model is a fine-tuned version of
google/efficientnet-b6
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0036
Accuracy: 0.9989
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2.5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0076
0.9998
2187
0.0088
0.9970
0.002
2.0
4375
0.0173
0.9931
0.0011
2.4997
5468
0.0036
0.9989
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
