Food Classifier
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the food101 dataset. It achieves the following results on the evaluation set:
- Evaluation loss: 0.7166455984115601
- Accuracy: 0.8753663366336634
Model Details
A model that can detect 101 variety of food.
Model Description
- Developed by: Dricz
- Model type: Image classification
- Language(s) (NLP): English
- Finetuned from model: google/vit-base-patch16-224-in21k
Training Details
Training Data
- training_loss: 1.7299224627936907
- train_runtime: 3538
- train_samples_per_second: 21.409
- train_steps_per_second: 1.338
- total_flos: 5.8752267138432e+18
- train_loss: 1.7299224627936907
- epoch: 1.0
Training Hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Evaluation
- eval_loss: 0.7166455984115601
- eval_accuracy: 0.8753663366336634
- eval_runtime: 446.9362
- eval_steps_per_second: 3.533
- epoch: 1.0
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