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metadata
library_name: transformers
license: apache-2.0
base_model: Marqo/nsfw-image-detection-384
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: nsfw-fine-tuned-timm
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          config: default
          split: validation
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.999

nsfw-fine-tuned-timm

This model is a fine-tuned version of Marqo/nsfw-image-detection-384 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0041
  • Accuracy: 0.999

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1.5

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0041 0.5066 500 0.0147 0.996
0.0023 1.0132 1000 0.0003 1.0

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0