license: apache-2.0 | |
base_model: google/vit-base-patch16-224-in21k | |
tags: | |
- generated_from_trainer | |
datasets: | |
- food101 | |
model-index: | |
- name: vit-base-food-classification | |
results: [] | |
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# vit-base-food-classification | |
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the food101 dataset. | |
It achieves the following results on the evaluation set: | |
- eval_loss: 1.1551 | |
- eval_accuracy: 0.7081 | |
- eval_runtime: 407.104 | |
- eval_samples_per_second: 62.023 | |
- eval_steps_per_second: 7.755 | |
- epoch: 0.23 | |
- step: 1098 | |
## 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: 0.0002 | |
- train_batch_size: 16 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 4 | |
### Framework versions | |
- Transformers 4.33.1 | |
- Pytorch 2.0.1+cu118 | |
- Datasets 2.14.5 | |
- Tokenizers 0.13.3 | |