metadata
library_name: transformers
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: hurricane_model
results: []
hurricane_model
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the jonathan-roberts1/Satellite-Images-of-Hurricane-Damage dataset. It achieves the following results on the evaluation set:
- Loss: 0.0224
- Model Preparation Time: 0.0051
- Accuracy: 0.9948
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 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 | Model Preparation Time | Accuracy |
|---|---|---|---|---|---|
| 0.1118 | 0.3195 | 100 | 0.1486 | 0.0051 | 0.9476 |
| 0.1112 | 0.6390 | 200 | 0.0701 | 0.0051 | 0.9752 |
| 0.0694 | 0.9585 | 300 | 0.0608 | 0.0051 | 0.9808 |
| 0.0048 | 1.2780 | 400 | 0.0917 | 0.0051 | 0.9744 |
| 0.036 | 1.5974 | 500 | 0.0552 | 0.0051 | 0.9836 |
| 0.0594 | 1.9169 | 600 | 0.0547 | 0.0051 | 0.9808 |
| 0.0115 | 2.2364 | 700 | 0.0627 | 0.0051 | 0.9844 |
| 0.0016 | 2.5559 | 800 | 0.0296 | 0.0051 | 0.9936 |
| 0.004 | 2.8754 | 900 | 0.0325 | 0.0051 | 0.9916 |
| 0.0009 | 3.1949 | 1000 | 0.0224 | 0.0051 | 0.9948 |
| 0.0008 | 3.5144 | 1100 | 0.0270 | 0.0051 | 0.9936 |
| 0.0008 | 3.8339 | 1200 | 0.0256 | 0.0051 | 0.994 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3