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finetuned-indian-food
sampath03/finetuned-indian-food
finetuned-indian-food is a image classification model from sampath03. 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
- Oct 22, 2024
- Updated
- Oct 22, 2024
- SHA
- b92d0d0b
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. -->
finetuned-indian-food
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the indian_food_images dataset. It achieves the following results on the evaluation set:
- Loss: 0.2575
- Accuracy: 0.9320
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1123 | 0.3003 | 100 | 0.9179 | 0.8799 |
| 0.9547 | 0.6006 | 200 | 0.8116 | 0.8108 |
| 0.8798 | 0.9009 | 300 | 0.5791 | 0.8650 |
| 0.4529 | 1.2012 | 400 | 0.4330 | 0.8990 |
| 0.3011 | 1.5015 | 500 | 0.4332 | 0.8874 |
| 0.4487 | 1.8018 | 600 | 0.3668 | 0.9054 |
| 0.2804 | 2.1021 | 700 | 0.3622 | 0.9086 |
| 0.2845 | 2.4024 | 800 | 0.3347 | 0.9118 |
| 0.2787 | 2.7027 | 900 | 0.3119 | 0.9203 |
| 0.1751 | 3.0030 | 1000 | 0.2879 | 0.9214 |
| 0.1861 | 3.3033 | 1100 | 0.2724 | 0.9309 |
| 0.1015 | 3.6036 | 1200 | 0.2628 | 0.9277 |
| 0.0959 | 3.9039 | 1300 | 0.2575 | 0.9320 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024