|
--- |
|
license: apache-2.0 |
|
base_model: google/vit-base-patch16-224 |
|
tags: |
|
- image-classification |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
|
|
datasets: |
|
- pcuenq/oxford-pets |
|
language: |
|
- en |
|
library_name: transformers |
|
--- |
|
|
|
|
|
# Image Classification |
|
|
|
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pcuenq/oxford-pets dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2031 |
|
- Accuracy: 0.9459 |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0003 |
|
- 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.3727 | 1.0 | 370 | 0.2756 | 0.9337 | |
|
| 0.2145 | 2.0 | 740 | 0.2168 | 0.9378 | |
|
| 0.1835 | 3.0 | 1110 | 0.1918 | 0.9459 | |
|
| 0.147 | 4.0 | 1480 | 0.1857 | 0.9472 | |
|
| 0.1315 | 5.0 | 1850 | 0.1818 | 0.9472 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
