metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ViT_Cucumber
results: []
ViT_Cucumber
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: 0.0155
- Accuracy: 0.9976
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: 0.0002
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1694 | 0.3571 | 100 | 0.1965 | 0.9607 |
| 0.1409 | 0.7143 | 200 | 0.2409 | 0.9261 |
| 0.1024 | 1.0714 | 300 | 0.0903 | 0.9780 |
| 0.0326 | 1.4286 | 400 | 0.0630 | 0.9866 |
| 0.0338 | 1.7857 | 500 | 0.0675 | 0.9843 |
| 0.0082 | 2.1429 | 600 | 0.0508 | 0.9882 |
| 0.0072 | 2.5 | 700 | 0.0609 | 0.9874 |
| 0.0056 | 2.8571 | 800 | 0.0175 | 0.9976 |
| 0.0044 | 3.2143 | 900 | 0.0154 | 0.9976 |
| 0.0042 | 3.5714 | 1000 | 0.0151 | 0.9976 |
| 0.0045 | 3.9286 | 1100 | 0.0155 | 0.9976 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.0+cu118
- Datasets 3.2.0
- Tokenizers 0.19.1