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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: google/vit-base-patch16-224-in21k
model-index:
- name: snacks_classification
results: []
datasets:
- Matthijs/snacks
---
<!-- 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. -->
# snacks_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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4458
- Accuracy: 0.8942
## 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: 0.0001
- 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: 13
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 303 | 0.7200 | 0.8649 |
| 1.0168 | 2.0 | 606 | 0.5468 | 0.8723 |
| 1.0168 | 3.0 | 909 | 0.4612 | 0.8848 |
| 0.3765 | 4.0 | 1212 | 0.5239 | 0.8660 |
| 0.2585 | 5.0 | 1515 | 0.4193 | 0.8890 |
| 0.2585 | 6.0 | 1818 | 0.4571 | 0.8775 |
| 0.2038 | 7.0 | 2121 | 0.4538 | 0.8838 |
| 0.2038 | 8.0 | 2424 | 0.4508 | 0.8880 |
| 0.1827 | 9.0 | 2727 | 0.4748 | 0.8880 |
| 0.1568 | 10.0 | 3030 | 0.4928 | 0.8764 |
| 0.1568 | 11.0 | 3333 | 0.3684 | 0.9099 |
| 0.1305 | 12.0 | 3636 | 0.4205 | 0.8984 |
| 0.1305 | 13.0 | 3939 | 0.4537 | 0.8963 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2 |