DeepFake-EN-B6

Skullly/DeepFake-EN-B6

DeepFake-EN-B6 is a image classification model from Skullly. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: efficientnet
Access: Public
Created: Jun 18, 2024
Updated: Jun 18, 2024
SHA: 173bcbb7

Base models

google/efficientnet-b6

Model card

From the Hugging Face model README

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

Task: Image Classification
Library: transformers
Type: efficientnet
License: apache-2.0
Created: Jun 18, 2024
Updated: Jun 18, 2024