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food_classifier_2025_03_18_20_39
amarsaikhan/food_classifier_2025_03_18_20_39
food_classifier_2025_03_18_20_39 is a image classification model from amarsaikhan. 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
- Mar 19, 2025
- Updated
- Mar 19, 2025
- SHA
- 4381adfb
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. -->
food_classifier_2025_03_18_20_39
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: 0.5122
- Accuracy: 0.8746
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: 0.0006
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 2048
- total_eval_batch_size: 512
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 18
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.9399 | 1.0 | 37 | 3.1445 | 0.7088 |
| 1.578 | 2.0 | 74 | 1.1087 | 0.7971 |
| 0.9126 | 3.0 | 111 | 0.7459 | 0.8190 |
| 0.7204 | 4.0 | 148 | 0.6649 | 0.8352 |
| 0.611 | 5.0 | 185 | 0.6167 | 0.8424 |
| 0.5583 | 6.0 | 222 | 0.5946 | 0.8468 |
| 0.4702 | 7.0 | 259 | 0.5649 | 0.8561 |
| 0.4427 | 8.0 | 296 | 0.5751 | 0.8512 |
| 0.3757 | 9.0 | 333 | 0.5720 | 0.8535 |
| 0.3356 | 10.0 | 370 | 0.5514 | 0.8589 |
| 0.3129 | 11.0 | 407 | 0.5458 | 0.8612 |
| 0.2894 | 12.0 | 444 | 0.5399 | 0.8595 |
| 0.2513 | 13.0 | 481 | 0.5293 | 0.8675 |
| 0.2419 | 14.0 | 518 | 0.5299 | 0.868 |
| 0.2137 | 15.0 | 555 | 0.5250 | 0.8703 |
| 0.2215 | 16.0 | 592 | 0.5194 | 0.8676 |
| 0.2046 | 17.0 | 629 | 0.5201 | 0.8689 |
| 0.1864 | 18.0 | 666 | 0.5122 | 0.8746 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Mar 19, 2025
- Updated
- Mar 19, 2025