metadata
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
model
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: 0.0001
- 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