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lixg_chong_model002
lixugang/lixg_chong_model002
lixg_chong_model002 is a image classification model from lixugang. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- May 6, 2025
- Updated
- May 6, 2025
- SHA
- 0ce38d61
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
lixg_chong_model002
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: 1.3551
- Accuracy: 0.75
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 4 | 1.9344 | 0.1667 |
| No log | 2.0 | 8 | 1.8649 | 0.3333 |
| 1.6376 | 3.0 | 12 | 1.7836 | 0.5 |
| 1.6376 | 4.0 | 16 | 1.7310 | 0.4167 |
| 1.3504 | 5.0 | 20 | 1.6152 | 0.5833 |
| 1.3504 | 6.0 | 24 | 1.5817 | 0.5833 |
| 1.3504 | 7.0 | 28 | 1.5656 | 0.5833 |
| 1.3337 | 8.0 | 32 | 1.5015 | 0.6667 |
| 1.3337 | 9.0 | 36 | 1.5062 | 0.6667 |
| 1.1244 | 10.0 | 40 | 1.4488 | 0.5833 |
| 1.1244 | 11.0 | 44 | 1.4459 | 0.75 |
| 1.1244 | 12.0 | 48 | 1.4110 | 0.6667 |
| 1.172 | 13.0 | 52 | 1.4307 | 0.8333 |
| 1.172 | 14.0 | 56 | 1.4241 | 0.6667 |
| 1.0562 | 15.0 | 60 | 1.3551 | 0.75 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cpu
- Datasets 3.5.0
- Tokenizers 0.21.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 6, 2025
- Updated
- May 6, 2025