metadata
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-oxford-iiit-pets
results: []
vit-base-oxford-iiit-pets
This model is a fine-tuned version of google/vit-base-patch16-224 on the pcuenq/oxford-pets dataset. It achieves the following results on the evaluation set:
- Loss: 0.2148
- Accuracy: 0.9418
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: 0.0003
- 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 |
|---|---|---|---|---|
| 0.3959 | 1.0 | 370 | 0.2667 | 0.9364 |
| 0.193 | 2.0 | 740 | 0.2010 | 0.9445 |
| 0.1665 | 3.0 | 1110 | 0.1798 | 0.9499 |
| 0.14 | 4.0 | 1480 | 0.1692 | 0.9526 |
| 0.1367 | 5.0 | 1850 | 0.1682 | 0.9499 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1
- Datasets 2.16.1
- Tokenizers 0.19.1