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_Guava
results: []
Vit_Guava
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: 0.0036
- Accuracy: 1.0
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1092 | 0.4651 | 100 | 0.0675 | 0.9918 |
| 0.0334 | 0.9302 | 200 | 0.0861 | 0.9785 |
| 0.0188 | 1.3953 | 300 | 0.0506 | 0.9847 |
| 0.0074 | 1.8605 | 400 | 0.0236 | 0.9949 |
| 0.016 | 2.3256 | 500 | 0.0092 | 0.9980 |
| 0.0041 | 2.7907 | 600 | 0.0044 | 1.0 |
| 0.0038 | 3.2558 | 700 | 0.0039 | 1.0 |
| 0.0035 | 3.7209 | 800 | 0.0036 | 1.0 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0