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results
thrimurthi2025/results
results is a image classification model from thrimurthi2025. 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
- siglip
- Access
- Public
- Created
- Nov 5, 2025
- Updated
- Nov 5, 2025
- SHA
- cc65da7a
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. -->
results
This model is a fine-tuned version of Ateeqq/ai-vs-human-image-detector on the imagefolder dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.7561
- Loss: 1.1782
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: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.7523 | 1.0 | 58 | 0.6951 | 1.1249 |
| 0.3123 | 2.0 | 116 | 0.7744 | 0.7260 |
| 0.2716 | 3.0 | 174 | 0.7561 | 1.1782 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Image Classification
- Library
- transformers
- Type
- siglip
- License
- apache-2.0
- Created
- Nov 5, 2025
- Updated
- Nov 5, 2025