food
This model is a fine-tuned version of google/vit-base-patch16-224 on the food101 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6313
- eval_accuracy: 0.856
- eval_runtime: 739.9774
- eval_samples_per_second: 1.351
- eval_steps_per_second: 0.085
- epoch: 0.15
- step: 38
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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Inference Providers
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the model is not deployed on the HF Inference API.
Model tree for yfh/food
Base model
google/vit-base-patch16-224