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food-image-classification
Shresthadev403/food-image-classification
food-image-classification is a image classification model from Shresthadev403. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- vit
- Access
- Public
- Created
- Feb 4, 2024
- Updated
- Sep 24, 2024
- SHA
- 1024535a
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. -->
food-image-classification
This model was trained from scratch on the food101 dataset It achieves the following results on the evaluation set:
- eval_loss: 0.4645
- eval_accuracy: 0.8831
- eval_runtime: 156.6057
- eval_samples_per_second: 96.74
- eval_steps_per_second: 6.047
- epoch: 54.91
- step: 52000
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 500
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- Created
- Feb 4, 2024
- Updated
- Sep 24, 2024