fine-tuned-nsfw-classification
This model is a fine-tuned version of Falconsai/nsfw_image_detection on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
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: 16
- eval_batch_size: 8
- 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: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0176 | 0.6083 | 500 | 0.0093 | 0.999 |
| 0.0031 | 1.2165 | 1000 | 0.0021 | 0.999 |
| 0.0015 | 1.8248 | 1500 | 0.0049 | 0.999 |
| 0.0001 | 2.4331 | 2000 | 0.0086 | 0.999 |
| 0.0 | 3.0414 | 2500 | 0.0087 | 0.999 |
| 0.0 | 3.6496 | 3000 | 0.0088 | 0.999 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0