metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_food_model
results: []
my_awesome_food_model
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: 3.8640
- Accuracy: 0.573
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: 512
- eval_batch_size: 512
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| No log | 1.0 | 2 | 0.036 | 4.5210 |
| No log | 2.0 | 4 | 0.278 | 4.4151 |
| No log | 3.0 | 6 | 0.437 | 4.3629 |
| No log | 4.0 | 8 | 4.2960 | 0.547 |
| 4.3122 | 5.0 | 10 | 4.1697 | 0.589 |
| 4.3122 | 6.0 | 12 | 4.0601 | 0.568 |
| 4.3122 | 7.0 | 14 | 3.9770 | 0.521 |
| 4.3122 | 8.0 | 16 | 3.9177 | 0.539 |
| 4.3122 | 9.0 | 18 | 3.8843 | 0.545 |
| 3.9792 | 10.0 | 20 | 3.8640 | 0.573 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1