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results
panjiallatief/results
results is a image classification model from panjiallatief. 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 15, 2025
- Updated
- May 15, 2025
- SHA
- 71c7e35e
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 google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.2786
- Accuracy: 0.55
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: 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 80 | 2.0304 | 0.2188 |
| 2.0496 | 2.0 | 160 | 1.8376 | 0.35 |
| 1.7855 | 3.0 | 240 | 1.6403 | 0.4375 |
| 1.4719 | 4.0 | 320 | 1.5324 | 0.525 |
| 1.2454 | 5.0 | 400 | 1.4388 | 0.5312 |
| 1.2454 | 6.0 | 480 | 1.3698 | 0.575 |
| 1.0235 | 7.0 | 560 | 1.3360 | 0.5563 |
| 0.8674 | 8.0 | 640 | 1.3001 | 0.5687 |
| 0.7613 | 9.0 | 720 | 1.2869 | 0.55 |
| 0.6857 | 10.0 | 800 | 1.2786 | 0.55 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- May 15, 2025
- Updated
- May 15, 2025