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results
mwildana/results
results is a image classification model from mwildana. 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
- Nov 22, 2024
- Updated
- Nov 23, 2024
- SHA
- 03b21379
Base models
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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4246
- Accuracy: 0.5062
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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.2192 | 1.0 | 10 | 1.5404 | 0.4688 |
| 1.1105 | 2.0 | 20 | 1.5094 | 0.4313 |
| 0.9413 | 3.0 | 30 | 1.4630 | 0.4813 |
| 0.7833 | 4.0 | 40 | 1.4246 | 0.5062 |
| 0.6455 | 5.0 | 50 | 1.4159 | 0.5 |
| 0.535 | 6.0 | 60 | 1.4147 | 0.4875 |
| 0.446 | 7.0 | 70 | 1.3981 | 0.4875 |
| 0.3777 | 8.0 | 80 | 1.4239 | 0.4625 |
| 0.3258 | 9.0 | 90 | 1.4240 | 0.4813 |
| 0.2865 | 10.0 | 100 | 1.4302 | 0.475 |
| 0.2579 | 11.0 | 110 | 1.4488 | 0.4688 |
| 0.2371 | 12.0 | 120 | 1.4653 | 0.4688 |
| 0.2228 | 13.0 | 130 | 1.4644 | 0.4875 |
| 0.2135 | 14.0 | 140 | 1.4743 | 0.4688 |
| 0.2083 | 15.0 | 150 | 1.4733 | 0.475 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 22, 2024
- Updated
- Nov 23, 2024