README.md

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