metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MyFoodModelViTFull
results: []
MyFoodModelViTFull
This model is a fine-tuned version of 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