This model is a fine-tuned version of Falconsai/nsfw_image_detection on the Bingsu/Gameplay_Images dataset. It achieves the following results on the evaluation set:

Loss: 0.0083
Accuracy: 0.998

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0185	0.5	500	0.0242	0.995
0.0082	1.0	1000	0.0191	0.995
0.0072	1.5	1500	0.0212	0.9945
0.0041	2.0	2000	0.0143	0.997
0.0055	2.5	2500	0.0154	0.9965
0.004	3.0	3000	0.0128	0.9975
0.0016	3.5	3500	0.0109	0.9975
0.0014	4.0	4000	0.0089	0.998
0.0021	4.5	4500	0.0084	0.998
0.0005	5.0	5000	0.0083	0.998

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

victorwkey/vit-videogames

vit-videogames

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

victorwkey/
vit-videogames