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my_awesome_food_model
Shojint/my_awesome_food_model
my_awesome_food_model is a image classification model from Shojint. 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
- Jul 21, 2023
- Updated
- Jul 21, 2023
- SHA
- de10d2ca
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_awesome_food_model
This model was trained from scratch on the food101 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.2752
- eval_accuracy: 0.923
- eval_runtime: 18.6571
- eval_samples_per_second: 53.599
- eval_steps_per_second: 3.377
- epoch: 29.71
- step: 1857
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: 100
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- Created
- Jul 21, 2023
- Updated
- Jul 21, 2023