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finetuned-indian-food
Krithiga/finetuned-indian-food
finetuned-indian-food is a image classification model from Krithiga. 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 3, 2023
- Updated
- Nov 3, 2023
- SHA
- 8b1fd5d5
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: 0.2313
- Accuracy: 0.9458
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 |
|---|---|---|---|---|
| 0.4578 | 0.3 | 100 | 0.3982 | 0.8842 |
| 0.3823 | 0.6 | 200 | 0.4436 | 0.8863 |
| 0.4317 | 0.9 | 300 | 0.4027 | 0.8820 |
| 0.3051 | 1.2 | 400 | 0.3762 | 0.8895 |
| 0.1829 | 1.5 | 500 | 0.3679 | 0.9086 |
| 0.2193 | 1.8 | 600 | 0.3046 | 0.9235 |
| 0.1673 | 2.1 | 700 | 0.3170 | 0.9224 |
| 0.2694 | 2.4 | 800 | 0.2726 | 0.9341 |
| 0.1209 | 2.7 | 900 | 0.2777 | 0.9288 |
| 0.146 | 3.0 | 1000 | 0.2415 | 0.9384 |
| 0.1515 | 3.3 | 1100 | 0.2313 | 0.9458 |
| 0.1645 | 3.6 | 1200 | 0.2394 | 0.9437 |
| 0.1142 | 3.9 | 1300 | 0.2325 | 0.9447 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Tokenizers 0.14.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 3, 2023
- Updated
- Nov 3, 2023