|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- rock-glacier-dataset |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: skynet |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: rock-glacier-dataset |
|
type: rock-glacier-dataset |
|
config: image-classification |
|
split: train |
|
args: image-classification |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.9688888888888889 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# skynet |
|
|
|
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the rock-glacier-dataset dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1080 |
|
- Accuracy: 0.9689 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 32 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.4521 | 0.3 | 75 | 0.4436 | 0.824 | |
|
| 0.3561 | 0.61 | 150 | 0.2802 | 0.9244 | |
|
| 0.2306 | 0.91 | 225 | 0.2124 | 0.9307 | |
|
| 0.1621 | 1.21 | 300 | 0.1695 | 0.9458 | |
|
| 0.1396 | 1.52 | 375 | 0.1589 | 0.9476 | |
|
| 0.1157 | 1.82 | 450 | 0.1342 | 0.9547 | |
|
| 0.0707 | 2.13 | 525 | 0.1342 | 0.96 | |
|
| 0.0578 | 2.43 | 600 | 0.1294 | 0.9591 | |
|
| 0.0687 | 2.73 | 675 | 0.1285 | 0.9609 | |
|
| 0.0431 | 3.04 | 750 | 0.1066 | 0.9671 | |
|
| 0.0249 | 3.34 | 825 | 0.1069 | 0.968 | |
|
| 0.0614 | 3.64 | 900 | 0.1073 | 0.968 | |
|
| 0.0469 | 3.95 | 975 | 0.1080 | 0.9689 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu116 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|