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my-custom-food-model
Zodex/my-custom-food-model
my-custom-food-model is a image classification model from Zodex. 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 6, 2025
- Updated
- Oct 6, 2025
- SHA
- 91931d09
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. -->
my-custom-food-model
This model is a fine-tuned version of Mullerjo/food-101-finetuned-model on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.8660
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: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0964 | 1.0 | 400 | 2.8509 |
| 1.9141 | 2.0 | 800 | 2.0634 |
| 1.2164 | 3.0 | 1200 | 1.8660 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.22.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Oct 6, 2025
- Updated
- Oct 6, 2025