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results
phonghoccode/results
results is a image classification model from phonghoccode. 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
- Jun 30, 2024
- Updated
- Jun 30, 2024
- SHA
- 92fa781a
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: 0.2654
- Accuracy: 0.9402
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5724 | 1.0 | 34 | 0.4259 | 0.9163 |
| 0.3558 | 2.0 | 68 | 0.3116 | 0.9363 |
| 0.2732 | 3.0 | 102 | 0.2842 | 0.9363 |
| 0.2286 | 4.0 | 136 | 0.2690 | 0.9402 |
| 0.1984 | 5.0 | 170 | 0.2654 | 0.9402 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jun 30, 2024
- Updated
- Jun 30, 2024