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DeepFake-EN-B6

Image Classification
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Safetensors
efficientnet
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DeepFake-EN-B6 / README.md
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metadata
license: apache-2.0
base_model: google/efficientnet-b6
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: DeepFake-EN-B6
    results: []

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