---
library_name: transformers
license: apache-2.0
base_model: Falconsai/nsfw_image_detection
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: model
  results:
  - task:
      name: Image Classification
      type: image-classification
    dataset:
      name: imagefolder
      type: imagefolder
      config: default
      split: train
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 1.0
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# model

This model is a fine-tuned version of [Falconsai/nsfw_image_detection](https://huggingface.co/Falconsai/nsfw_image_detection) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7818        | 1.0   | 313  | 0.0032          | 0.9975   |
| 0.0103        | 2.0   | 626  | 0.0247          | 0.9950   |
| 0.0056        | 3.0   | 939  | 0.0074          | 0.9975   |
| 0.0002        | 4.0   | 1252 | 0.0002          | 1.0      |
| 0.0001        | 5.0   | 1565 | 0.0001          | 1.0      |
| 0.0001        | 6.0   | 1878 | 0.0001          | 1.0      |
| 0.0001        | 7.0   | 2191 | 0.0001          | 1.0      |
| 0.0001        | 8.0   | 2504 | 0.0001          | 1.0      |
| 0.0001        | 9.0   | 2817 | 0.0001          | 1.0      |
| 0.0001        | 10.0  | 3130 | 0.0001          | 1.0      |
| 0.0001        | 11.0  | 3443 | 0.0001          | 1.0      |
| 0.0001        | 12.0  | 3756 | 0.0001          | 1.0      |
| 0.0001        | 13.0  | 4069 | 0.0001          | 1.0      |
| 0.0001        | 14.0  | 4382 | 0.0001          | 1.0      |
| 0.0001        | 15.0  | 4695 | 0.0001          | 1.0      |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0