metadata

library_name: transformers
license: apache-2.0
base_model: Falconsai/nsfw_image_detection
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vit-food101
    results: []

vit-food101

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

Loss: 0.0192
Accuracy: 0.9925

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
0.1276	3.8462	500	0.0192	0.9925

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0