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---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MyFoodModelViTFull
results: []
---
<!-- 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. -->
# MyFoodModelViTFull
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: 0.8555
- Accuracy: 0.912
## 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: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 3.808 | 0.8 | 50 | 2.8728 | 0.799 |
| 2.2535 | 1.6 | 100 | 1.8121 | 0.877 |
| 1.5567 | 2.4 | 150 | 1.3607 | 0.905 |
| 1.1859 | 3.2 | 200 | 1.1252 | 0.906 |
| 0.9912 | 4.0 | 250 | 0.9753 | 0.915 |
| 0.8667 | 4.8 | 300 | 0.8917 | 0.919 |
| 0.7875 | 5.6 | 350 | 0.8555 | 0.912 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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